Sample records for abstract metadata record

  1. Improving Metadata Compliance for Earth Science Data Records

    NASA Astrophysics Data System (ADS)

    Armstrong, E. M.; Chang, O.; Foster, D.

    2014-12-01

    One of the recurring challenges of creating earth science data records is to ensure a consistent level of metadata compliance at the granule level where important details of contents, provenance, producer, and data references are necessary to obtain a sufficient level of understanding. These details are important not just for individual data consumers but also for autonomous software systems. Two of the most popular metadata standards at the granule level are the Climate and Forecast (CF) Metadata Conventions and the Attribute Conventions for Dataset Discovery (ACDD). Many data producers have implemented one or both of these models including the Group for High Resolution Sea Surface Temperature (GHRSST) for their global SST products and the Ocean Biology Processing Group for NASA ocean color and SST products. While both the CF and ACDD models contain various level of metadata richness, the actual "required" attributes are quite small in number. Metadata at the granule level becomes much more useful when recommended or optional attributes are implemented that document spatial and temporal ranges, lineage and provenance, sources, keywords, and references etc. In this presentation we report on a new open source tool to check the compliance of netCDF and HDF5 granules to the CF and ACCD metadata models. The tool, written in Python, was originally implemented to support metadata compliance for netCDF records as part of the NOAA's Integrated Ocean Observing System. It outputs standardized scoring for metadata compliance for both CF and ACDD, produces an objective summary weight, and can be implemented for remote records via OPeNDAP calls. Originally a command-line tool, we have extended it to provide a user-friendly web interface. Reports on metadata testing are grouped in hierarchies that make it easier to track flaws and inconsistencies in the record. We have also extended it to support explicit metadata structures and semantic syntax for the GHRSST project that can be

  2. Metadata (MD)

    Treesearch

    Robert E. Keane

    2006-01-01

    The Metadata (MD) table in the FIREMON database is used to record any information about the sampling strategy or data collected using the FIREMON sampling procedures. The MD method records metadata pertaining to a group of FIREMON plots, such as all plots in a specific FIREMON project. FIREMON plots are linked to metadata using a unique metadata identifier that is...

  3. A novel metadata management model to capture consent for record linkage in longitudinal research studies.

    PubMed

    McMahon, Christiana; Denaxas, Spiros

    2017-11-06

    Informed consent is an important feature of longitudinal research studies as it enables the linking of the baseline participant information with administrative data. The lack of standardized models to capture consent elements can lead to substantial challenges. A structured approach to capturing consent-related metadata can address these. a) Explore the state-of-the-art for recording consent; b) Identify key elements of consent required for record linkage; and c) Create and evaluate a novel metadata management model to capture consent-related metadata. The main methodological components of our work were: a) a systematic literature review and qualitative analysis of consent forms; b) the development and evaluation of a novel metadata model. We qualitatively analyzed 61 manuscripts and 30 consent forms. We extracted data elements related to obtaining consent for linkage. We created a novel metadata management model for consent and evaluated it by comparison with the existing standards and by iteratively applying it to case studies. The developed model can facilitate the standardized recording of consent for linkage in longitudinal research studies and enable the linkage of external participant data. Furthermore, it can provide a structured way of recording consent-related metadata and facilitate the harmonization and streamlining of processes.

  4. Simplified Metadata Curation via the Metadata Management Tool

    NASA Astrophysics Data System (ADS)

    Shum, D.; Pilone, D.

    2015-12-01

    The Metadata Management Tool (MMT) is the newest capability developed as part of NASA Earth Observing System Data and Information System's (EOSDIS) efforts to simplify metadata creation and improve metadata quality. The MMT was developed via an agile methodology, taking into account inputs from GCMD's science coordinators and other end-users. In its initial release, the MMT uses the Unified Metadata Model for Collections (UMM-C) to allow metadata providers to easily create and update collection records in the ISO-19115 format. Through a simplified UI experience, metadata curators can create and edit collections without full knowledge of the NASA Best Practices implementation of ISO-19115 format, while still generating compliant metadata. More experienced users are also able to access raw metadata to build more complex records as needed. In future releases, the MMT will build upon recent work done in the community to assess metadata quality and compliance with a variety of standards through application of metadata rubrics. The tool will provide users with clear guidance as to how to easily change their metadata in order to improve their quality and compliance. Through these features, the MMT allows data providers to create and maintain compliant and high quality metadata in a short amount of time.

  5. Master Metadata Repository and Metadata-Management System

    NASA Technical Reports Server (NTRS)

    Armstrong, Edward; Reed, Nate; Zhang, Wen

    2007-01-01

    A master metadata repository (MMR) software system manages the storage and searching of metadata pertaining to data from national and international satellite sources of the Global Ocean Data Assimilation Experiment (GODAE) High Resolution Sea Surface Temperature Pilot Project [GHRSSTPP]. These sources produce a total of hundreds of data files daily, each file classified as one of more than ten data products representing global sea-surface temperatures. The MMR is a relational database wherein the metadata are divided into granulelevel records [denoted file records (FRs)] for individual satellite files and collection-level records [denoted data set descriptions (DSDs)] that describe metadata common to all the files from a specific data product. FRs and DSDs adhere to the NASA Directory Interchange Format (DIF). The FRs and DSDs are contained in separate subdatabases linked by a common field. The MMR is configured in MySQL database software with custom Practical Extraction and Reporting Language (PERL) programs to validate and ingest the metadata records. The database contents are converted into the Federal Geographic Data Committee (FGDC) standard format by use of the Extensible Markup Language (XML). A Web interface enables users to search for availability of data from all sources.

  6. Distributed metadata servers for cluster file systems using shared low latency persistent key-value metadata store

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bent, John M.; Faibish, Sorin; Pedone, Jr., James M.

    A cluster file system is provided having a plurality of distributed metadata servers with shared access to one or more shared low latency persistent key-value metadata stores. A metadata server comprises an abstract storage interface comprising a software interface module that communicates with at least one shared persistent key-value metadata store providing a key-value interface for persistent storage of key-value metadata. The software interface module provides the key-value metadata to the at least one shared persistent key-value metadata store in a key-value format. The shared persistent key-value metadata store is accessed by a plurality of metadata servers. A metadata requestmore » can be processed by a given metadata server independently of other metadata servers in the cluster file system. A distributed metadata storage environment is also disclosed that comprises a plurality of metadata servers having an abstract storage interface to at least one shared persistent key-value metadata store.« less

  7. Open Access Metadata, Catalogers, and Vendors: The Future of Cataloging Records

    ERIC Educational Resources Information Center

    Flynn, Emily Alinder

    2013-01-01

    The open access (OA) movement is working to transform scholarly communication around the world, but this philosophy can also apply to metadata and cataloging records. While some notable, large academic libraries, such as Harvard University, the University of Michigan, and the University of Cambridge, released their cataloging records under OA…

  8. A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records

    PubMed Central

    Weissenbacher, Davy; Rivera, Robert; Beard, Rachel; Firago, Mari; Wallstrom, Garrick; Scotch, Matthew; Gonzalez, Graciela

    2016-01-01

    Objective The metadata reflecting the location of the infected host (LOIH) of virus sequences in GenBank often lacks specificity. This work seeks to enhance this metadata by extracting more specific geographic information from related full-text articles and mapping them to their latitude/longitudes using knowledge derived from external geographical databases. Materials and Methods We developed a rule-based information extraction framework for linking GenBank records to the latitude/longitudes of the LOIH. Our system first extracts existing geospatial metadata from GenBank records and attempts to improve it by seeking additional, relevant geographic information from text and tables in related full-text PubMed Central articles. The final extracted locations of the records, based on data assimilated from these sources, are then disambiguated and mapped to their respective geo-coordinates. We evaluated our approach on a manually annotated dataset comprising of 5728 GenBank records for the influenza A virus. Results We found the precision, recall, and f-measure of our system for linking GenBank records to the latitude/longitudes of their LOIH to be 0.832, 0.967, and 0.894, respectively. Discussion Our system had a high level of accuracy for linking GenBank records to the geo-coordinates of the LOIH. However, it can be further improved by expanding our database of geospatial data, incorporating spell correction, and enhancing the rules used for extraction. Conclusion Our system performs reasonably well for linking GenBank records for the influenza A virus to the geo-coordinates of their LOIH based on record metadata and information extracted from related full-text articles. PMID:26911818

  9. A high-precision rule-based extraction system for expanding geospatial metadata in GenBank records.

    PubMed

    Tahsin, Tasnia; Weissenbacher, Davy; Rivera, Robert; Beard, Rachel; Firago, Mari; Wallstrom, Garrick; Scotch, Matthew; Gonzalez, Graciela

    2016-09-01

    The metadata reflecting the location of the infected host (LOIH) of virus sequences in GenBank often lacks specificity. This work seeks to enhance this metadata by extracting more specific geographic information from related full-text articles and mapping them to their latitude/longitudes using knowledge derived from external geographical databases. We developed a rule-based information extraction framework for linking GenBank records to the latitude/longitudes of the LOIH. Our system first extracts existing geospatial metadata from GenBank records and attempts to improve it by seeking additional, relevant geographic information from text and tables in related full-text PubMed Central articles. The final extracted locations of the records, based on data assimilated from these sources, are then disambiguated and mapped to their respective geo-coordinates. We evaluated our approach on a manually annotated dataset comprising of 5728 GenBank records for the influenza A virus. We found the precision, recall, and f-measure of our system for linking GenBank records to the latitude/longitudes of their LOIH to be 0.832, 0.967, and 0.894, respectively. Our system had a high level of accuracy for linking GenBank records to the geo-coordinates of the LOIH. However, it can be further improved by expanding our database of geospatial data, incorporating spell correction, and enhancing the rules used for extraction. Our system performs reasonably well for linking GenBank records for the influenza A virus to the geo-coordinates of their LOIH based on record metadata and information extracted from related full-text articles. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  10. Creating context for the experiment record. User-defined metadata: investigations into metadata usage in the LabTrove ELN.

    PubMed

    Willoughby, Cerys; Bird, Colin L; Coles, Simon J; Frey, Jeremy G

    2014-12-22

    The drive toward more transparency in research, the growing willingness to make data openly available, and the reuse of data to maximize the return on research investment all increase the importance of being able to find information and make links to the underlying data. The use of metadata in Electronic Laboratory Notebooks (ELNs) to curate experiment data is an essential ingredient for facilitating discovery. The University of Southampton has developed a Web browser-based ELN that enables users to add their own metadata to notebook entries. A survey of these notebooks was completed to assess user behavior and patterns of metadata usage within ELNs, while user perceptions and expectations were gathered through interviews and user-testing activities within the community. The findings indicate that while some groups are comfortable with metadata and are able to design a metadata structure that works effectively, many users are making little attempts to use it, thereby endangering their ability to recover data in the future. A survey of patterns of metadata use in these notebooks, together with feedback from the user community, indicated that while a few groups are comfortable with metadata and are able to design a metadata structure that works effectively, many users adopt a "minimum required" approach to metadata. To investigate whether the patterns of metadata use in LabTrove were unusual, a series of surveys were undertaken to investigate metadata usage in a variety of platforms supporting user-defined metadata. These surveys also provided the opportunity to investigate whether interface designs in these other environments might inform strategies for encouraging metadata creation and more effective use of metadata in LabTrove.

  11. Metadata Means Communication: The Challenges of Producing Useful Metadata

    NASA Astrophysics Data System (ADS)

    Edwards, P. N.; Batcheller, A. L.

    2010-12-01

    Metadata are increasingly perceived as an important component of data sharing systems. For instance, metadata accompanying atmospheric model output may indicate the grid size, grid type, and parameter settings used in the model configuration. We conducted a case study of a data portal in the atmospheric sciences using in-depth interviews, document review, and observation. OUr analysis revealed a number of challenges in producing useful metadata. First, creating and managing metadata required considerable effort and expertise, yet responsibility for these tasks was ill-defined and diffused among many individuals, leading to errors, failure to capture metadata, and uncertainty about the quality of the primary data. Second, metadata ended up stored in many different forms and software tools, making it hard to manage versions and transfer between formats. Third, the exact meanings of metadata categories remained unsettled and misunderstood even among a small community of domain experts -- an effect we expect to be exacerbated when scientists from other disciplines wish to use these data. In practice, we found that metadata problems due to these obstacles are often overcome through informal, personal communication, such as conversations or email. We conclude that metadata serve to communicate the context of data production from the people who produce data to those who wish to use it. Thus while formal metadata systems are often public, critical elements of metadata (those embodied in informal communication) may never be recorded. Therefore, efforts to increase data sharing should include ways to facilitate inter-investigator communication. Instead of tackling metadata challenges only on the formal level, we can improve data usability for broader communities by better supporting metadata communication.

  12. The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness.

    PubMed

    Liolios, Konstantinos; Schriml, Lynn; Hirschman, Lynette; Pagani, Ioanna; Nosrat, Bahador; Sterk, Peter; White, Owen; Rocca-Serra, Philippe; Sansone, Susanna-Assunta; Taylor, Chris; Kyrpides, Nikos C; Field, Dawn

    2012-07-30

    Variability in the extent of the descriptions of data ('metadata') held in public repositories forces users to assess the quality of records individually, which rapidly becomes impractical. The scoring of records on the richness of their description provides a simple, objective proxy measure for quality that enables filtering that supports downstream analysis. Pivotally, such descriptions should spur on improvements. Here, we introduce such a measure - the 'Metadata Coverage Index' (MCI): the percentage of available fields actually filled in a record or description. MCI scores can be calculated across a database, for individual records or for their component parts (e.g., fields of interest). There are many potential uses for this simple metric: for example; to filter, rank or search for records; to assess the metadata availability of an ad hoc collection; to determine the frequency with which fields in a particular record type are filled, especially with respect to standards compliance; to assess the utility of specific tools and resources, and of data capture practice more generally; to prioritize records for further curation; to serve as performance metrics of funded projects; or to quantify the value added by curation. Here we demonstrate the utility of MCI scores using metadata from the Genomes Online Database (GOLD), including records compliant with the 'Minimum Information about a Genome Sequence' (MIGS) standard developed by the Genomic Standards Consortium. We discuss challenges and address the further application of MCI scores; to show improvements in annotation quality over time, to inform the work of standards bodies and repository providers on the usability and popularity of their products, and to assess and credit the work of curators. Such an index provides a step towards putting metadata capture practices and in the future, standards compliance, into a quantitative and objective framework.

  13. Evaluating and Evolving Metadata in Multiple Dialects

    NASA Astrophysics Data System (ADS)

    Kozimor, J.; Habermann, T.; Powers, L. A.; Gordon, S.

    2016-12-01

    Despite many long-term homogenization efforts, communities continue to develop focused metadata standards along with related recommendations and (typically) XML representations (aka dialects) for sharing metadata content. Different representations easily become obstacles to sharing information because each representation generally requires a set of tools and skills that are designed, built, and maintained specifically for that representation. In contrast, community recommendations are generally described, at least initially, at a more conceptual level and are more easily shared. For example, most communities agree that dataset titles should be included in metadata records although they write the titles in different ways. This situation has led to the development of metadata repositories that can ingest and output metadata in multiple dialects. As an operational example, the NASA Common Metadata Repository (CMR) includes three different metadata dialects (DIF, ECHO, and ISO 19115-2). These systems raise a new question for metadata providers: if I have a choice of metadata dialects, which should I use and how do I make that decision? We have developed a collection of metadata evaluation tools that can be used to evaluate metadata records in many dialects for completeness with respect to recommendations from many organizations and communities. We have applied these tools to over 8000 collection and granule metadata records in four different dialects. This large collection of identical content in multiple dialects enables us to address questions about metadata and dialect evolution and to answer those questions quantitatively. We will describe those tools and results from evaluating the NASA CMR metadata collection.

  14. Evaluating non-relational storage technology for HEP metadata and meta-data catalog

    NASA Astrophysics Data System (ADS)

    Grigorieva, M. A.; Golosova, M. V.; Gubin, M. Y.; Klimentov, A. A.; Osipova, V. V.; Ryabinkin, E. A.

    2016-10-01

    Large-scale scientific experiments produce vast volumes of data. These data are stored, processed and analyzed in a distributed computing environment. The life cycle of experiment is managed by specialized software like Distributed Data Management and Workload Management Systems. In order to be interpreted and mined, experimental data must be accompanied by auxiliary metadata, which are recorded at each data processing step. Metadata describes scientific data and represent scientific objects or results of scientific experiments, allowing them to be shared by various applications, to be recorded in databases or published via Web. Processing and analysis of constantly growing volume of auxiliary metadata is a challenging task, not simpler than the management and processing of experimental data itself. Furthermore, metadata sources are often loosely coupled and potentially may lead to an end-user inconsistency in combined information queries. To aggregate and synthesize a range of primary metadata sources, and enhance them with flexible schema-less addition of aggregated data, we are developing the Data Knowledge Base architecture serving as the intelligence behind GUIs and APIs.

  15. GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.

    PubMed

    Tahsin, Tasnia; Weissenbacher, Davy; O'Connor, Karen; Magge, Arjun; Scotch, Matthew; Gonzalez-Hernandez, Graciela

    2018-05-01

    GeoBoost is a command-line software package developed to address sparse or incomplete metadata in GenBank sequence records that relate to the location of the infected host (LOIH) of viruses. Given a set of GenBank accession numbers corresponding to virus GenBank records, GeoBoost extracts, integrates and normalizes geographic information reflecting the LOIH of the viruses using integrated information from GenBank metadata and related full-text publications. In addition, to facilitate probabilistic geospatial modeling, GeoBoost assigns probability scores for each possible LOIH. Binaries and resources required for running GeoBoost are packed into a single zipped file and freely available for download at https://tinyurl.com/geoboost. A video tutorial is included to help users quickly and easily install and run the software. The software is implemented in Java 1.8, and supported on MS Windows and Linux platforms. gragon@upenn.edu. Supplementary data are available at Bioinformatics online.

  16. Applications of the LBA-ECO Metadata Warehouse

    NASA Astrophysics Data System (ADS)

    Wilcox, L.; Morrell, A.; Griffith, P. C.

    2006-05-01

    The LBA-ECO Project Office has developed a system to harvest and warehouse metadata resulting from the Large-Scale Biosphere Atmosphere Experiment in Amazonia. The harvested metadata is used to create dynamically generated reports, available at www.lbaeco.org, which facilitate access to LBA-ECO datasets. The reports are generated for specific controlled vocabulary terms (such as an investigation team or a geospatial region), and are cross-linked with one another via these terms. This approach creates a rich contextual framework enabling researchers to find datasets relevant to their research. It maximizes data discovery by association and provides a greater understanding of the scientific and social context of each dataset. For example, our website provides a profile (e.g. participants, abstract(s), study sites, and publications) for each LBA-ECO investigation. Linked from each profile is a list of associated registered dataset titles, each of which link to a dataset profile that describes the metadata in a user-friendly way. The dataset profiles are generated from the harvested metadata, and are cross-linked with associated reports via controlled vocabulary terms such as geospatial region. The region name appears on the dataset profile as a hyperlinked term. When researchers click on this link, they find a list of reports relevant to that region, including a list of dataset titles associated with that region. Each dataset title in this list is hyperlinked to its corresponding dataset profile. Moreover, each dataset profile contains hyperlinks to each associated data file at its home data repository and to publications that have used the dataset. We also use the harvested metadata in administrative applications to assist quality assurance efforts. These include processes to check for broken hyperlinks to data files, automated emails that inform our administrators when critical metadata fields are updated, dynamically generated reports of metadata records that link

  17. Building Format-Agnostic Metadata Repositories

    NASA Astrophysics Data System (ADS)

    Cechini, M.; Pilone, D.

    2010-12-01

    This presentation will discuss the problems that surround persisting and discovering metadata in multiple formats; a set of tenets that must be addressed in a solution; and NASA’s Earth Observing System (EOS) ClearingHOuse’s (ECHO) proposed approach. In order to facilitate cross-discipline data analysis, Earth Scientists will potentially interact with more than one data source. The most common data discovery paradigm relies on services and/or applications facilitating the discovery and presentation of metadata. What may not be common are the formats in which the metadata are formatted. As the number of sources and datasets utilized for research increases, it becomes more likely that a researcher will encounter conflicting metadata formats. Metadata repositories, such as the EOS ClearingHOuse (ECHO), along with data centers, must identify ways to address this issue. In order to define the solution to this problem, the following tenets are identified: - There exists a set of ‘core’ metadata fields recommended for data discovery. - There exists a set of users who will require the entire metadata record for advanced analysis. - There exists a set of users who will require a ‘core’ set of metadata fields for discovery only. - There will never be a cessation of new formats or a total retirement of all old formats. - Users should be presented metadata in a consistent format. ECHO has undertaken an effort to transform its metadata ingest and discovery services in order to support the growing set of metadata formats. In order to address the previously listed items, ECHO’s new metadata processing paradigm utilizes the following approach: - Identify a cross-format set of ‘core’ metadata fields necessary for discovery. - Implement format-specific indexers to extract the ‘core’ metadata fields into an optimized query capability. - Archive the original metadata in its entirety for presentation to users requiring the full record. - Provide on

  18. CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard.

    PubMed

    Park, Yu Rang; Yoon, Young Jo; Jang, Tae Hun; Seo, Hwa Jeong; Kim, Ju Han

    2014-01-01

    Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models. Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated. In total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model. A feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models.

  19. Mitogenome metadata: current trends and proposed standards.

    PubMed

    Strohm, Jeff H T; Gwiazdowski, Rodger A; Hanner, Robert

    2016-09-01

    Mitogenome metadata are descriptive terms about the sequence, and its specimen description that allow both to be digitally discoverable and interoperable. Here, we review a sampling of mitogenome metadata published in the journal Mitochondrial DNA between 2005 and 2014. Specifically, we have focused on a subset of metadata fields that are available for GenBank records, and specified by the Genomics Standards Consortium (GSC) and other biodiversity metadata standards; and we assessed their presence across three main categories: collection, biological and taxonomic information. To do this we reviewed 146 mitogenome manuscripts, and their associated GenBank records, and scored them for 13 metadata fields. We also explored the potential for mitogenome misidentification using their sequence diversity, and taxonomic metadata on the Barcode of Life Datasystems (BOLD). For this, we focused on all Lepidoptera and Perciformes mitogenomes included in the review, along with additional mitogenome sequence data mined from Genbank. Overall, we found that none of 146 mitogenome projects provided all the metadata we looked for; and only 17 projects provided at least one category of metadata across the three main categories. Comparisons using mtDNA sequences from BOLD, suggest that some mitogenomes may be misidentified. Lastly, we appreciate the research potential of mitogenomes announced through this journal; and we conclude with a suggestion of 13 metadata fields, available on GenBank, that if provided in a mitogenomes's GenBank record, would increase their research value.

  20. A Metadata Element Set for Project Documentation

    NASA Technical Reports Server (NTRS)

    Hodge, Gail; Templeton, Clay; Allen, Robert B.

    2003-01-01

    Abstract NASA Goddard Space Flight Center is a large engineering enterprise with many projects. We describe our efforts to develop standard metadata sets across project documentation which we term the "Goddard Core". We also address broader issues for project management metadata.

  1. The RBV metadata catalog

    NASA Astrophysics Data System (ADS)

    Andre, Francois; Fleury, Laurence; Gaillardet, Jerome; Nord, Guillaume

    2015-04-01

    RBV (Réseau des Bassins Versants) is a French initiative to consolidate the national efforts made by more than 15 elementary observatories funded by various research institutions (CNRS, INRA, IRD, IRSTEA, Universities) that study river and drainage basins. The RBV Metadata Catalogue aims at giving an unified vision of the work produced by every observatory to both the members of the RBV network and any external person interested by this domain of research. Another goal is to share this information with other existing metadata portals. Metadata management is heterogeneous among observatories ranging from absence to mature harvestable catalogues. Here, we would like to explain the strategy used to design a state of the art catalogue facing this situation. Main features are as follows : - Multiple input methods: Metadata records in the catalog can either be entered with the graphical user interface, harvested from an existing catalogue or imported from information system through simplified web services. - Hierarchical levels: Metadata records may describe either an observatory, one of its experimental site or a single dataset produced by one instrument. - Multilingualism: Metadata can be easily entered in several configurable languages. - Compliance to standards : the backoffice part of the catalogue is based on a CSW metadata server (Geosource) which ensures ISO19115 compatibility and the ability of being harvested (globally or partially). On going tasks focus on the use of SKOS thesaurus and SensorML description of the sensors. - Ergonomy : The user interface is built with the GWT Framework to offer a rich client application with a fully ajaxified navigation. - Source code sharing : The work has led to the development of reusable components which can be used to quickly create new metadata forms in other GWT applications You can visit the catalogue (http://portailrbv.sedoo.fr/) or contact us by email rbv@sedoo.fr.

  2. CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard

    PubMed Central

    Park, Yu Rang; Yoon, Young Jo; Jang, Tae Hun; Seo, Hwa Jeong

    2014-01-01

    Objectives Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models. Methods Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated. Results In total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model. Conclusions A feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models. PMID:24627817

  3. Metazen - metadata capture for metagenomes.

    PubMed

    Bischof, Jared; Harrison, Travis; Paczian, Tobias; Glass, Elizabeth; Wilke, Andreas; Meyer, Folker

    2014-01-01

    As the impact and prevalence of large-scale metagenomic surveys grow, so does the acute need for more complete and standards compliant metadata. Metadata (data describing data) provides an essential complement to experimental data, helping to answer questions about its source, mode of collection, and reliability. Metadata collection and interpretation have become vital to the genomics and metagenomics communities, but considerable challenges remain, including exchange, curation, and distribution. Currently, tools are available for capturing basic field metadata during sampling, and for storing, updating and viewing it. Unfortunately, these tools are not specifically designed for metagenomic surveys; in particular, they lack the appropriate metadata collection templates, a centralized storage repository, and a unique ID linking system that can be used to easily port complete and compatible metagenomic metadata into widely used assembly and sequence analysis tools. Metazen was developed as a comprehensive framework designed to enable metadata capture for metagenomic sequencing projects. Specifically, Metazen provides a rapid, easy-to-use portal to encourage early deposition of project and sample metadata. Metazen is an interactive tool that aids users in recording their metadata in a complete and valid format. A defined set of mandatory fields captures vital information, while the option to add fields provides flexibility.

  4. Multi-facetted Metadata - Describing datasets with different metadata schemas at the same time

    NASA Astrophysics Data System (ADS)

    Ulbricht, Damian; Klump, Jens; Bertelmann, Roland

    2013-04-01

    Inspired by the wish to re-use research data a lot of work is done to bring data systems of the earth sciences together. Discovery metadata is disseminated to data portals to allow building of customized indexes of catalogued dataset items. Data that were once acquired in the context of a scientific project are open for reappraisal and can now be used by scientists that were not part of the original research team. To make data re-use easier, measurement methods and measurement parameters must be documented in an application metadata schema and described in a written publication. Linking datasets to publications - as DataCite [1] does - requires again a specific metadata schema and every new use context of the measured data may require yet another metadata schema sharing only a subset of information with the meta information already present. To cope with the problem of metadata schema diversity in our common data repository at GFZ Potsdam we established a solution to store file-based research data and describe these with an arbitrary number of metadata schemas. Core component of the data repository is an eSciDoc infrastructure that provides versioned container objects, called eSciDoc [2] "items". The eSciDoc content model allows assigning files to "items" and adding any number of metadata records to these "items". The eSciDoc items can be submitted, revised, and finally published, which makes the data and metadata available through the internet worldwide. GFZ Potsdam uses eSciDoc to support its scientific publishing workflow, including mechanisms for data review in peer review processes by providing temporary web links for external reviewers that do not have credentials to access the data. Based on the eSciDoc API, panMetaDocs [3] provides a web portal for data management in research projects. PanMetaDocs, which is based on panMetaWorks [4], is a PHP based web application that allows to describe data with any XML-based schema. It uses the eSciDoc infrastructures

  5. Handling Metadata in a Neurophysiology Laboratory

    PubMed Central

    Zehl, Lyuba; Jaillet, Florent; Stoewer, Adrian; Grewe, Jan; Sobolev, Andrey; Wachtler, Thomas; Brochier, Thomas G.; Riehle, Alexa; Denker, Michael; Grün, Sonja

    2016-01-01

    To date, non-reproducibility of neurophysiological research is a matter of intense discussion in the scientific community. A crucial component to enhance reproducibility is to comprehensively collect and store metadata, that is, all information about the experiment, the data, and the applied preprocessing steps on the data, such that they can be accessed and shared in a consistent and simple manner. However, the complexity of experiments, the highly specialized analysis workflows and a lack of knowledge on how to make use of supporting software tools often overburden researchers to perform such a detailed documentation. For this reason, the collected metadata are often incomplete, incomprehensible for outsiders or ambiguous. Based on our research experience in dealing with diverse datasets, we here provide conceptual and technical guidance to overcome the challenges associated with the collection, organization, and storage of metadata in a neurophysiology laboratory. Through the concrete example of managing the metadata of a complex experiment that yields multi-channel recordings from monkeys performing a behavioral motor task, we practically demonstrate the implementation of these approaches and solutions with the intention that they may be generalized to other projects. Moreover, we detail five use cases that demonstrate the resulting benefits of constructing a well-organized metadata collection when processing or analyzing the recorded data, in particular when these are shared between laboratories in a modern scientific collaboration. Finally, we suggest an adaptable workflow to accumulate, structure and store metadata from different sources using, by way of example, the odML metadata framework. PMID:27486397

  6. Handling Metadata in a Neurophysiology Laboratory.

    PubMed

    Zehl, Lyuba; Jaillet, Florent; Stoewer, Adrian; Grewe, Jan; Sobolev, Andrey; Wachtler, Thomas; Brochier, Thomas G; Riehle, Alexa; Denker, Michael; Grün, Sonja

    2016-01-01

    To date, non-reproducibility of neurophysiological research is a matter of intense discussion in the scientific community. A crucial component to enhance reproducibility is to comprehensively collect and store metadata, that is, all information about the experiment, the data, and the applied preprocessing steps on the data, such that they can be accessed and shared in a consistent and simple manner. However, the complexity of experiments, the highly specialized analysis workflows and a lack of knowledge on how to make use of supporting software tools often overburden researchers to perform such a detailed documentation. For this reason, the collected metadata are often incomplete, incomprehensible for outsiders or ambiguous. Based on our research experience in dealing with diverse datasets, we here provide conceptual and technical guidance to overcome the challenges associated with the collection, organization, and storage of metadata in a neurophysiology laboratory. Through the concrete example of managing the metadata of a complex experiment that yields multi-channel recordings from monkeys performing a behavioral motor task, we practically demonstrate the implementation of these approaches and solutions with the intention that they may be generalized to other projects. Moreover, we detail five use cases that demonstrate the resulting benefits of constructing a well-organized metadata collection when processing or analyzing the recorded data, in particular when these are shared between laboratories in a modern scientific collaboration. Finally, we suggest an adaptable workflow to accumulate, structure and store metadata from different sources using, by way of example, the odML metadata framework.

  7. USGIN ISO metadata profile

    NASA Astrophysics Data System (ADS)

    Richard, S. M.

    2011-12-01

    content. The use cases for the detailed content must be well understood, and the degree of metadata complexity should be determined by requirements for those use cases. The ISO standard provides sufficient flexibility that relatively simple metadata records can be created that will serve for text-indexed search/discovery, resource evaluation by a user reading text content from the metadata, and access to the resource via http, ftp, or well-known service protocols (e.g. Thredds; OGC WMS, WFS, WCS).

  8. Metazen – metadata capture for metagenomes

    DOE PAGES

    Bischof, Jared; Harrison, Travis; Paczian, Tobias; ...

    2014-12-08

    Background: As the impact and prevalence of large-scale metagenomic surveys grow, so does the acute need for more complete and standards compliant metadata. Metadata (data describing data) provides an essential complement to experimental data, helping to answer questions about its source, mode of collection, and reliability. Metadata collection and interpretation have become vital to the genomics and metagenomics communities, but considerable challenges remain, including exchange, curation, and distribution. Currently, tools are available for capturing basic field metadata during sampling, and for storing, updating and viewing it. These tools are not specifically designed for metagenomic surveys; in particular, they lack themore » appropriate metadata collection templates, a centralized storage repository, and a unique ID linking system that can be used to easily port complete and compatible metagenomic metadata into widely used assembly and sequence analysis tools. Results: Metazen was developed as a comprehensive framework designed to enable metadata capture for metagenomic sequencing projects. Specifically, Metazen provides a rapid, easy-to-use portal to encourage early deposition of project and sample metadata. Conclusion: Metazen is an interactive tool that aids users in recording their metadata in a complete and valid format. A defined set of mandatory fields captures vital information, while the option to add fields provides flexibility.« less

  9. Metazen – metadata capture for metagenomes

    PubMed Central

    2014-01-01

    Background As the impact and prevalence of large-scale metagenomic surveys grow, so does the acute need for more complete and standards compliant metadata. Metadata (data describing data) provides an essential complement to experimental data, helping to answer questions about its source, mode of collection, and reliability. Metadata collection and interpretation have become vital to the genomics and metagenomics communities, but considerable challenges remain, including exchange, curation, and distribution. Currently, tools are available for capturing basic field metadata during sampling, and for storing, updating and viewing it. Unfortunately, these tools are not specifically designed for metagenomic surveys; in particular, they lack the appropriate metadata collection templates, a centralized storage repository, and a unique ID linking system that can be used to easily port complete and compatible metagenomic metadata into widely used assembly and sequence analysis tools. Results Metazen was developed as a comprehensive framework designed to enable metadata capture for metagenomic sequencing projects. Specifically, Metazen provides a rapid, easy-to-use portal to encourage early deposition of project and sample metadata. Conclusions Metazen is an interactive tool that aids users in recording their metadata in a complete and valid format. A defined set of mandatory fields captures vital information, while the option to add fields provides flexibility. PMID:25780508

  10. Metazen – metadata capture for metagenomes

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bischof, Jared; Harrison, Travis; Paczian, Tobias

    Background: As the impact and prevalence of large-scale metagenomic surveys grow, so does the acute need for more complete and standards compliant metadata. Metadata (data describing data) provides an essential complement to experimental data, helping to answer questions about its source, mode of collection, and reliability. Metadata collection and interpretation have become vital to the genomics and metagenomics communities, but considerable challenges remain, including exchange, curation, and distribution. Currently, tools are available for capturing basic field metadata during sampling, and for storing, updating and viewing it. These tools are not specifically designed for metagenomic surveys; in particular, they lack themore » appropriate metadata collection templates, a centralized storage repository, and a unique ID linking system that can be used to easily port complete and compatible metagenomic metadata into widely used assembly and sequence analysis tools. Results: Metazen was developed as a comprehensive framework designed to enable metadata capture for metagenomic sequencing projects. Specifically, Metazen provides a rapid, easy-to-use portal to encourage early deposition of project and sample metadata. Conclusion: Metazen is an interactive tool that aids users in recording their metadata in a complete and valid format. A defined set of mandatory fields captures vital information, while the option to add fields provides flexibility.« less

  11. Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards.

    PubMed

    Caffery, Liam J; Clunie, David; Curiel-Lewandrowski, Clara; Malvehy, Josep; Soyer, H Peter; Halpern, Allan C

    2018-01-17

    Imaging is increasingly being used in dermatology for documentation, diagnosis, and management of cutaneous disease. The lack of standards for dermatologic imaging is an impediment to clinical uptake. Standardization can occur in image acquisition, terminology, interoperability, and metadata. This paper presents the International Skin Imaging Collaboration position on standardization of metadata for dermatologic imaging. Metadata is essential to ensure that dermatologic images are properly managed and interpreted. There are two standards-based approaches to recording and storing metadata in dermatologic imaging. The first uses standard consumer image file formats, and the second is the file format and metadata model developed for the Digital Imaging and Communication in Medicine (DICOM) standard. DICOM would appear to provide an advantage over using consumer image file formats for metadata as it includes all the patient, study, and technical metadata necessary to use images clinically. Whereas, consumer image file formats only include technical metadata and need to be used in conjunction with another actor-for example, an electronic medical record-to supply the patient and study metadata. The use of DICOM may have some ancillary benefits in dermatologic imaging including leveraging DICOM network and workflow services, interoperability of images and metadata, leveraging existing enterprise imaging infrastructure, greater patient safety, and better compliance to legislative requirements for image retention.

  12. Electronic Health Records Data and Metadata: Challenges for Big Data in the United States.

    PubMed

    Sweet, Lauren E; Moulaison, Heather Lea

    2013-12-01

    This article, written by researchers studying metadata and standards, represents a fresh perspective on the challenges of electronic health records (EHRs) and serves as a primer for big data researchers new to health-related issues. Primarily, we argue for the importance of the systematic adoption of standards in EHR data and metadata as a way of promoting big data research and benefiting patients. EHRs have the potential to include a vast amount of longitudinal health data, and metadata provides the formal structures to govern that data. In the United States, electronic medical records (EMRs) are part of the larger EHR. EHR data is submitted by a variety of clinical data providers and potentially by the patients themselves. Because data input practices are not necessarily standardized, and because of the multiplicity of current standards, basic interoperability in EHRs is hindered. Some of the issues with EHR interoperability stem from the complexities of the data they include, which can be both structured and unstructured. A number of controlled vocabularies are available to data providers. The continuity of care document standard will provide interoperability in the United States between the EMR and the larger EHR, potentially making data input by providers directly available to other providers. The data involved is nonetheless messy. In particular, the use of competing vocabularies such as the Systematized Nomenclature of Medicine-Clinical Terms, MEDCIN, and locally created vocabularies inhibits large-scale interoperability for structured portions of the records, and unstructured portions, although potentially not machine readable, remain essential. Once EMRs for patients are brought together as EHRs, the EHRs must be managed and stored. Adequate documentation should be created and maintained to assure the secure and accurate use of EHR data. There are currently a few notable international standards initiatives for EHRs. Organizations such as Health Level Seven

  13. Mercury Toolset for Spatiotemporal Metadata

    NASA Technical Reports Server (NTRS)

    Wilson, Bruce E.; Palanisamy, Giri; Devarakonda, Ranjeet; Rhyne, B. Timothy; Lindsley, Chris; Green, James

    2010-01-01

    Mercury (http://mercury.ornl.gov) is a set of tools for federated harvesting, searching, and retrieving metadata, particularly spatiotemporal metadata. Version 3.0 of the Mercury toolset provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, facetted type search, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. It provides a single portal to very quickly search for data and information contained in disparate data management systems, each of which may use different metadata formats. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury periodically (typically daily) harvests metadata sources through a collection of interfaces and re-indexes these metadata to provide extremely rapid search capabilities, even over collections with tens of millions of metadata records. A number of both graphical and application interfaces have been constructed within Mercury, to enable both human users and other computer programs to perform queries. Mercury was also designed to support multiple different projects, so that the particular fields that can be queried and used with search filters are easy to configure for each different project.

  14. Mercury Toolset for Spatiotemporal Metadata

    NASA Astrophysics Data System (ADS)

    Devarakonda, Ranjeet; Palanisamy, Giri; Green, James; Wilson, Bruce; Rhyne, B. Timothy; Lindsley, Chris

    2010-06-01

    Mercury (http://mercury.ornl.gov) is a set of tools for federated harvesting, searching, and retrieving metadata, particularly spatiotemporal metadata. Version 3.0 of the Mercury toolset provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, facetted type search, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. It provides a single portal to very quickly search for data and information contained in disparate data management systems, each of which may use different metadata formats. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury periodically (typically daily)harvests metadata sources through a collection of interfaces and re-indexes these metadata to provide extremely rapid search capabilities, even over collections with tens of millions of metadata records. A number of both graphical and application interfaces have been constructed within Mercury, to enable both human users and other computer programs to perform queries. Mercury was also designed to support multiple different projects, so that the particular fields that can be queried and used with search filters are easy to configure for each different project.

  15. EPA Metadata Style Guide Keywords and EPA Organization Names

    EPA Pesticide Factsheets

    The following keywords and EPA organization names listed below, along with EPA’s Metadata Style Guide, are intended to provide suggestions and guidance to assist with the standardization of metadata records.

  16. Evaluating and Improving Metadata for Data Use and Understanding

    NASA Astrophysics Data System (ADS)

    Habermann, T.

    2013-12-01

    The last several decades have seen an extraordinary increase in the number and breadth of environmental data available to the scientific community and the general public. These increases have focused the environmental data community on creating metadata for discovering data and on the creation and population of catalogs and portals for facilitating discovery. This focus is reflected in the fields required by commonly used metadata standards and has resulted in collections populated with metadata that meet, but don't go far beyond, minimal discovery requirements. Discovery is the first step towards addressing scientific questions using data. As more data are discovered and accessed, users need metadata that 1) automates use and integration of these data in tools and 2) facilitates understanding the data when it is compared to similar datasets or as internal variations are observed. When data discovery is the primary goal, it is important to create records for as many datasets as possible. The content of these records is controlled by minimum requirements, and evaluation is generally limited to testing for required fields and counting records. As the use and understanding needs become more important, more comprehensive evaluation tools are needed. An approach is described for evaluating existing metadata in the light of these new requirements and for improving the metadata to meet them.

  17. Streamlining geospatial metadata in the Semantic Web

    NASA Astrophysics Data System (ADS)

    Fugazza, Cristiano; Pepe, Monica; Oggioni, Alessandro; Tagliolato, Paolo; Carrara, Paola

    2016-04-01

    In the geospatial realm, data annotation and discovery rely on a number of ad-hoc formats and protocols. These have been created to enable domain-specific use cases generalized search is not feasible for. Metadata are at the heart of the discovery process and nevertheless they are often neglected or encoded in formats that either are not aimed at efficient retrieval of resources or are plainly outdated. Particularly, the quantum leap represented by the Linked Open Data (LOD) movement did not induce so far a consistent, interlinked baseline in the geospatial domain. In a nutshell, datasets, scientific literature related to them, and ultimately the researchers behind these products are only loosely connected; the corresponding metadata intelligible only to humans, duplicated on different systems, seldom consistently. Instead, our workflow for metadata management envisages i) editing via customizable web- based forms, ii) encoding of records in any XML application profile, iii) translation into RDF (involving the semantic lift of metadata records), and finally iv) storage of the metadata as RDF and back-translation into the original XML format with added semantics-aware features. Phase iii) hinges on relating resource metadata to RDF data structures that represent keywords from code lists and controlled vocabularies, toponyms, researchers, institutes, and virtually any description one can retrieve (or directly publish) in the LOD Cloud. In the context of a distributed Spatial Data Infrastructure (SDI) built on free and open-source software, we detail phases iii) and iv) of our workflow for the semantics-aware management of geospatial metadata.

  18. Making Interoperability Easier with NASA's Metadata Management Tool (MMT)

    NASA Technical Reports Server (NTRS)

    Shum, Dana; Reese, Mark; Pilone, Dan; Baynes, Katie

    2016-01-01

    While the ISO-19115 collection level metadata format meets many users' needs for interoperable metadata, it can be cumbersome to create it correctly. Through the MMT's simple UI experience, metadata curators can create and edit collections which are compliant with ISO-19115 without full knowledge of the NASA Best Practices implementation of ISO-19115 format. Users are guided through the metadata creation process through a forms-based editor, complete with field information, validation hints and picklists. Once a record is completed, users can download the metadata in any of the supported formats with just 2 clicks.

  19. Predicting structured metadata from unstructured metadata.

    PubMed

    Posch, Lisa; Panahiazar, Maryam; Dumontier, Michel; Gevaert, Olivier

    2016-01-01

    Enormous amounts of biomedical data have been and are being produced by investigators all over the world. However, one crucial and limiting factor in data reuse is accurate, structured and complete description of the data or data about the data-defined as metadata. We propose a framework to predict structured metadata terms from unstructured metadata for improving quality and quantity of metadata, using the Gene Expression Omnibus (GEO) microarray database. Our framework consists of classifiers trained using term frequency-inverse document frequency (TF-IDF) features and a second approach based on topics modeled using a Latent Dirichlet Allocation model (LDA) to reduce the dimensionality of the unstructured data. Our results on the GEO database show that structured metadata terms can be the most accurately predicted using the TF-IDF approach followed by LDA both outperforming the majority vote baseline. While some accuracy is lost by the dimensionality reduction of LDA, the difference is small for elements with few possible values, and there is a large improvement over the majority classifier baseline. Overall this is a promising approach for metadata prediction that is likely to be applicable to other datasets and has implications for researchers interested in biomedical metadata curation and metadata prediction. © The Author(s) 2016. Published by Oxford University Press.

  20. Predicting structured metadata from unstructured metadata

    PubMed Central

    Posch, Lisa; Panahiazar, Maryam; Dumontier, Michel; Gevaert, Olivier

    2016-01-01

    Enormous amounts of biomedical data have been and are being produced by investigators all over the world. However, one crucial and limiting factor in data reuse is accurate, structured and complete description of the data or data about the data—defined as metadata. We propose a framework to predict structured metadata terms from unstructured metadata for improving quality and quantity of metadata, using the Gene Expression Omnibus (GEO) microarray database. Our framework consists of classifiers trained using term frequency-inverse document frequency (TF-IDF) features and a second approach based on topics modeled using a Latent Dirichlet Allocation model (LDA) to reduce the dimensionality of the unstructured data. Our results on the GEO database show that structured metadata terms can be the most accurately predicted using the TF-IDF approach followed by LDA both outperforming the majority vote baseline. While some accuracy is lost by the dimensionality reduction of LDA, the difference is small for elements with few possible values, and there is a large improvement over the majority classifier baseline. Overall this is a promising approach for metadata prediction that is likely to be applicable to other datasets and has implications for researchers interested in biomedical metadata curation and metadata prediction. Database URL: http://www.yeastgenome.org/ PMID:28637268

  1. Statistical Metadata Analysis of the Variability of Latency, Device Transfer Time, and Coordinate Position from Smartphone-Recorded Infrasound Data

    NASA Astrophysics Data System (ADS)

    Garces, E. L.; Garces, M. A.; Christe, A.

    2017-12-01

    The RedVox infrasound recorder app uses microphones and barometers in smartphones to record infrasound, low-frequency sound below the threshold of human hearing. We study a device's metadata, which includes position, latency time, the differences between the device's internal times and the server times, and the machine time, searching for patterns and possible errors or discontinuities in these scaled parameters. We highlight metadata variability through scaled multivariate displays (histograms, distribution curves, scatter plots), all created and organized through software development in Python. This project is helpful in ascertaining variability and honing the accuracy of smartphones, aiding the emergence of portable devices as viable geophysical data collection instruments. It can also improve the app and cloud service by increasing efficiency and accuracy, allowing to better document and foresee drastic natural movements like tsunamis, earthquakes, volcanic eruptions, storms, rocket launches, and meteor impacts; recorded data can later be used for studies and analysis by a variety of professions. We expect our final results to produce insight on how to counteract problematic issues in data mining and improve accuracy in smartphone data-collection. By eliminating lurking variables and minimizing the effect of confounding variables, we hope to discover efficient processes to reduce superfluous precision, unnecessary errors, and data artifacts. These methods should conceivably be transferable to other areas of software development, data analytics, and statistics-based experiments, contributing a precedent of smartphone metadata studies from geophysical rather than societal data. The results should facilitate the rise of civilian-accessible, hand-held, data-gathering mobile sensor networks and yield more straightforward data mining techniques.

  2. Metadata improvements driving new tools and services at a NASA data center

    NASA Astrophysics Data System (ADS)

    Moroni, D. F.; Hausman, J.; Foti, G.; Armstrong, E. M.

    2011-12-01

    The NASA Physical Oceanography DAAC (PO.DAAC) is responsible for distributing and maintaining satellite derived oceanographic data from a number of NASA and non-NASA missions for the physical disciplines of ocean winds, sea surface temperature, ocean topography and gravity. Currently its holdings consist of over 600 datasets with a data archive in excess of 200 Terrabytes. The PO.DAAC has recently embarked on a metadata quality and completeness project to migrate, update and improve metadata records for over 300 public datasets. An interactive database management tool has been developed to allow data scientists to enter, update and maintain metadata records. This tool communicates directly with PO.DAAC's Data Management and Archiving System (DMAS), which serves as the new archival and distribution backbone as well as a permanent repository of dataset and granule-level metadata. Although we will briefly discuss the tool, more important ramifications are the ability to now expose, propagate and leverage the metadata in a number of ways. First, the metadata are exposed directly through a faceted and free text search interface directly from drupal-based PO.DAAC web pages allowing for quick browsing and data discovery especially by "drilling" through the various facet levels that organize datasets by time/space resolution, processing level, sensor, measurement type etc. Furthermore, the metadata can now be exposed through web services to produce metadata records in a number of different formats such as FGDC and ISO 19115, or potentially propagated to visualization and subsetting tools, and other discovery interfaces. The fundamental concept is that the metadata forms the essential bridge between the user, and the tool or discovery mechanism for a broad range of ocean earth science data records.

  3. A Generic Metadata Editor Supporting System Using Drupal CMS

    NASA Astrophysics Data System (ADS)

    Pan, J.; Banks, N. G.; Leggott, M.

    2011-12-01

    Metadata handling is a key factor in preserving and reusing scientific data. In recent years, standardized structural metadata has become widely used in Geoscience communities. However, there exist many different standards in Geosciences, such as the current version of the Federal Geographic Data Committee's Content Standard for Digital Geospatial Metadata (FGDC CSDGM), the Ecological Markup Language (EML), the Geography Markup Language (GML), and the emerging ISO 19115 and related standards. In addition, there are many different subsets within the Geoscience subdomain such as the Biological Profile of the FGDC (CSDGM), or for geopolitical regions, such as the European Profile or the North American Profile in the ISO standards. It is therefore desirable to have a software foundation to support metadata creation and editing for multiple standards and profiles, without re-inventing the wheels. We have developed a software module as a generic, flexible software system to do just that: to facilitate the support for multiple metadata standards and profiles. The software consists of a set of modules for the Drupal Content Management System (CMS), with minimal inter-dependencies to other Drupal modules. There are two steps in using the system's metadata functions. First, an administrator can use the system to design a user form, based on an XML schema and its instances. The form definition is named and stored in the Drupal database as a XML blob content. Second, users in an editor role can then use the persisted XML definition to render an actual metadata entry form, for creating or editing a metadata record. Behind the scenes, the form definition XML is transformed into a PHP array, which is then rendered via Drupal Form API. When the form is submitted the posted values are used to modify a metadata record. Drupal hooks can be used to perform custom processing on metadata record before and after submission. It is trivial to store the metadata record as an actual XML file

  4. Publishing NASA Metadata as Linked Open Data for Semantic Mashups

    NASA Astrophysics Data System (ADS)

    Wilson, Brian; Manipon, Gerald; Hua, Hook

    2014-05-01

    Data providers are now publishing more metadata in more interoperable forms, e.g. Atom or RSS 'casts', as Linked Open Data (LOD), or as ISO Metadata records. A major effort on the part of the NASA's Earth Science Data and Information System (ESDIS) project is the aggregation of metadata that enables greater data interoperability among scientific data sets regardless of source or application. Both the Earth Observing System (EOS) ClearingHOuse (ECHO) and the Global Change Master Directory (GCMD) repositories contain metadata records for NASA (and other) datasets and provided services. These records contain typical fields for each dataset (or software service) such as the source, creation date, cognizant institution, related access URL's, and domain and variable keywords to enable discovery. Under a NASA ACCESS grant, we demonstrated how to publish the ECHO and GCMD dataset and services metadata as LOD in the RDF format. Both sets of metadata are now queryable at SPARQL endpoints and available for integration into "semantic mashups" in the browser. It is straightforward to reformat sets of XML metadata, including ISO, into simple RDF and then later refine and improve the RDF predicates by reusing known namespaces such as Dublin core, georss, etc. All scientific metadata should be part of the LOD world. In addition, we developed an "instant" drill-down and browse interface that provides faceted navigation so that the user can discover and explore the 25,000 datasets and 3000 services. The available facets and the free-text search box appear in the left panel, and the instantly updated results for the dataset search appear in the right panel. The user can constrain the value of a metadata facet simply by clicking on a word (or phrase) in the "word cloud" of values for each facet. The display section for each dataset includes the important metadata fields, a full description of the dataset, potentially some related URL's, and a "search" button that points to an Open

  5. Evaluating and Evolving Metadata in Multiple Dialects

    NASA Technical Reports Server (NTRS)

    Kozimore, John; Habermann, Ted; Gordon, Sean; Powers, Lindsay

    2016-01-01

    Despite many long-term homogenization efforts, communities continue to develop focused metadata standards along with related recommendations and (typically) XML representations (aka dialects) for sharing metadata content. Different representations easily become obstacles to sharing information because each representation generally requires a set of tools and skills that are designed, built, and maintained specifically for that representation. In contrast, community recommendations are generally described, at least initially, at a more conceptual level and are more easily shared. For example, most communities agree that dataset titles should be included in metadata records although they write the titles in different ways.

  6. Collaborative Metadata Curation in Support of NASA Earth Science Data Stewardship

    NASA Technical Reports Server (NTRS)

    Sisco, Adam W.; Bugbee, Kaylin; le Roux, Jeanne; Staton, Patrick; Freitag, Brian; Dixon, Valerie

    2018-01-01

    Growing collection of NASA Earth science data is archived and distributed by EOSDIS’s 12 Distributed Active Archive Centers (DAACs). Each collection and granule is described by a metadata record housed in the Common Metadata Repository (CMR). Multiple metadata standards are in use, and core elements of each are mapped to and from a common model – the Unified Metadata Model (UMM). Work done by the Analysis and Review of CMR (ARC) Team.

  7. Improving Access to NASA Earth Science Data through Collaborative Metadata Curation

    NASA Astrophysics Data System (ADS)

    Sisco, A. W.; Bugbee, K.; Shum, D.; Baynes, K.; Dixon, V.; Ramachandran, R.

    2017-12-01

    The NASA-developed Common Metadata Repository (CMR) is a high-performance metadata system that currently catalogs over 375 million Earth science metadata records. It serves as the authoritative metadata management system of NASA's Earth Observing System Data and Information System (EOSDIS), enabling NASA Earth science data to be discovered and accessed by a worldwide user community. The size of the EOSDIS data archive is steadily increasing, and the ability to manage and query this archive depends on the input of high quality metadata to the CMR. Metadata that does not provide adequate descriptive information diminishes the CMR's ability to effectively find and serve data to users. To address this issue, an innovative and collaborative review process is underway to systematically improve the completeness, consistency, and accuracy of metadata for approximately 7,000 data sets archived by NASA's twelve EOSDIS data centers, or Distributed Active Archive Centers (DAACs). The process involves automated and manual metadata assessment of both collection and granule records by a team of Earth science data specialists at NASA Marshall Space Flight Center. The team communicates results to DAAC personnel, who then make revisions and reingest improved metadata into the CMR. Implementation of this process relies on a network of interdisciplinary collaborators leveraging a variety of communication platforms and long-range planning strategies. Curating metadata at this scale and resolving metadata issues through community consensus improves the CMR's ability to serve current and future users and also introduces best practices for stewarding the next generation of Earth Observing System data. This presentation will detail the metadata curation process, its outcomes thus far, and also share the status of ongoing curation activities.

  8. Log-less metadata management on metadata server for parallel file systems.

    PubMed

    Liao, Jianwei; Xiao, Guoqiang; Peng, Xiaoning

    2014-01-01

    This paper presents a novel metadata management mechanism on the metadata server (MDS) for parallel and distributed file systems. In this technique, the client file system backs up the sent metadata requests, which have been handled by the metadata server, so that the MDS does not need to log metadata changes to nonvolatile storage for achieving highly available metadata service, as well as better performance improvement in metadata processing. As the client file system backs up certain sent metadata requests in its memory, the overhead for handling these backup requests is much smaller than that brought by the metadata server, while it adopts logging or journaling to yield highly available metadata service. The experimental results show that this newly proposed mechanism can significantly improve the speed of metadata processing and render a better I/O data throughput, in contrast to conventional metadata management schemes, that is, logging or journaling on MDS. Besides, a complete metadata recovery can be achieved by replaying the backup logs cached by all involved clients, when the metadata server has crashed or gone into nonoperational state exceptionally.

  9. Log-Less Metadata Management on Metadata Server for Parallel File Systems

    PubMed Central

    Xiao, Guoqiang; Peng, Xiaoning

    2014-01-01

    This paper presents a novel metadata management mechanism on the metadata server (MDS) for parallel and distributed file systems. In this technique, the client file system backs up the sent metadata requests, which have been handled by the metadata server, so that the MDS does not need to log metadata changes to nonvolatile storage for achieving highly available metadata service, as well as better performance improvement in metadata processing. As the client file system backs up certain sent metadata requests in its memory, the overhead for handling these backup requests is much smaller than that brought by the metadata server, while it adopts logging or journaling to yield highly available metadata service. The experimental results show that this newly proposed mechanism can significantly improve the speed of metadata processing and render a better I/O data throughput, in contrast to conventional metadata management schemes, that is, logging or journaling on MDS. Besides, a complete metadata recovery can be achieved by replaying the backup logs cached by all involved clients, when the metadata server has crashed or gone into nonoperational state exceptionally. PMID:24892093

  10. Metadata for Web Resources: How Metadata Works on the Web.

    ERIC Educational Resources Information Center

    Dillon, Martin

    This paper discusses bibliographic control of knowledge resources on the World Wide Web. The first section sets the context of the inquiry. The second section covers the following topics related to metadata: (1) definitions of metadata, including metadata as tags and as descriptors; (2) metadata on the Web, including general metadata systems,…

  11. EXIF Custom: Automatic image metadata extraction for Scratchpads and Drupal

    PubMed Central

    2013-01-01

    Abstract Many institutions and individuals use embedded metadata to aid in the management of their image collections. Many deskop image management solutions such as Adobe Bridge and online tools such as Flickr also make use of embedded metadata to describe, categorise and license images. Until now Scratchpads (a data management system and virtual research environment for biodiversity) have not made use of these metadata, and users have had to manually re-enter this information if they have wanted to display it on their Scratchpad site. The Drupal described here allows users to map metadata embedded in their images to the associated field in the Scratchpads image form using one or more customised mappings. The module works seamlessly with the bulk image uploader used on Scratchpads and it is therefore possible to upload hundreds of images easily with automatic metadata (EXIF, XMP and IPTC) extraction and mapping. PMID:24723768

  12. Metadata Wizard: an easy-to-use tool for creating FGDC-CSDGM metadata for geospatial datasets in ESRI ArcGIS Desktop

    USGS Publications Warehouse

    Ignizio, Drew A.; O'Donnell, Michael S.; Talbert, Colin B.

    2014-01-01

    Creating compliant metadata for scientific data products is mandated for all federal Geographic Information Systems professionals and is a best practice for members of the geospatial data community. However, the complexity of the The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata, the limited availability of easy-to-use tools, and recent changes in the ESRI software environment continue to make metadata creation a challenge. Staff at the U.S. Geological Survey Fort Collins Science Center have developed a Python toolbox for ESRI ArcDesktop to facilitate a semi-automated workflow to create and update metadata records in ESRI’s 10.x software. The U.S. Geological Survey Metadata Wizard tool automatically populates several metadata elements: the spatial reference, spatial extent, geospatial presentation format, vector feature count or raster column/row count, native system/processing environment, and the metadata creation date. Once the software auto-populates these elements, users can easily add attribute definitions and other relevant information in a simple Graphical User Interface. The tool, which offers a simple design free of esoteric metadata language, has the potential to save many government and non-government organizations a significant amount of time and costs by facilitating the development of The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata compliant metadata for ESRI software users. A working version of the tool is now available for ESRI ArcDesktop, version 10.0, 10.1, and 10.2 (downloadable at http:/www.sciencebase.gov/metadatawizard).

  13. Creating preservation metadata from XML-metadata profiles

    NASA Astrophysics Data System (ADS)

    Ulbricht, Damian; Bertelmann, Roland; Gebauer, Petra; Hasler, Tim; Klump, Jens; Kirchner, Ingo; Peters-Kottig, Wolfgang; Mettig, Nora; Rusch, Beate

    2014-05-01

    Registration of dataset DOIs at DataCite makes research data citable and comes with the obligation to keep data accessible in the future. In addition, many universities and research institutions measure data that is unique and not repeatable like the data produced by an observational network and they want to keep these data for future generations. In consequence, such data should be ingested in preservation systems, that automatically care for file format changes. Open source preservation software that is developed along the definitions of the ISO OAIS reference model is available but during ingest of data and metadata there are still problems to be solved. File format validation is difficult, because format validators are not only remarkably slow - due to variety in file formats different validators return conflicting identification profiles for identical data. These conflicts are hard to resolve. Preservation systems have a deficit in the support of custom metadata. Furthermore, data producers are sometimes not aware that quality metadata is a key issue for the re-use of data. In the project EWIG an university institute and a research institute work together with Zuse-Institute Berlin, that is acting as an infrastructure facility, to generate exemplary workflows for research data into OAIS compliant archives with emphasis on the geosciences. The Institute for Meteorology provides timeseries data from an urban monitoring network whereas GFZ Potsdam delivers file based data from research projects. To identify problems in existing preservation workflows the technical work is complemented by interviews with data practitioners. Policies for handling data and metadata are developed. Furthermore, university teaching material is created to raise the future scientists awareness of research data management. As a testbed for ingest workflows the digital preservation system Archivematica [1] is used. During the ingest process metadata is generated that is compliant to the

  14. Metadata management for high content screening in OMERO

    PubMed Central

    Li, Simon; Besson, Sébastien; Blackburn, Colin; Carroll, Mark; Ferguson, Richard K.; Flynn, Helen; Gillen, Kenneth; Leigh, Roger; Lindner, Dominik; Linkert, Melissa; Moore, William J.; Ramalingam, Balaji; Rozbicki, Emil; Rustici, Gabriella; Tarkowska, Aleksandra; Walczysko, Petr; Williams, Eleanor; Allan, Chris; Burel, Jean-Marie; Moore, Josh; Swedlow, Jason R.

    2016-01-01

    High content screening (HCS) experiments create a classic data management challenge—multiple, large sets of heterogeneous structured and unstructured data, that must be integrated and linked to produce a set of “final” results. These different data include images, reagents, protocols, analytic output, and phenotypes, all of which must be stored, linked and made accessible for users, scientists, collaborators and where appropriate the wider community. The OME Consortium has built several open source tools for managing, linking and sharing these different types of data. The OME Data Model is a metadata specification that supports the image data and metadata recorded in HCS experiments. Bio-Formats is a Java library that reads recorded image data and metadata and includes support for several HCS screening systems. OMERO is an enterprise data management application that integrates image data, experimental and analytic metadata and makes them accessible for visualization, mining, sharing and downstream analysis. We discuss how Bio-Formats and OMERO handle these different data types, and how they can be used to integrate, link and share HCS experiments in facilities and public data repositories. OME specifications and software are open source and are available at https://www.openmicroscopy.org. PMID:26476368

  15. Reliability of medical record abstraction by non-physicians for orthopedic research.

    PubMed

    Mi, Michael Y; Collins, Jamie E; Lerner, Vladislav; Losina, Elena; Katz, Jeffrey N

    2013-06-09

    Medical record review (MRR) is one of the most commonly used research methods in clinical studies because it provides rich clinical detail. However, because MRR involves subjective interpretation of information found in the medical record, it is critically important to understand the reproducibility of data obtained from MRR. Furthermore, because medical record review is both technically demanding and time intensive, it is important to establish whether trained research staff with no clinical training can abstract medical records reliably. We assessed the reliability of abstraction of medical record information in a sample of patients who underwent total knee replacement (TKR) at a referral center. An orthopedic surgeon instructed two research coordinators (RCs) in the abstraction of inpatient medical records and operative notes for patients undergoing primary TKR. The two RCs and the surgeon each independently reviewed 75 patients' records and one RC reviewed the records twice. Agreement was assessed using the proportion of items on which reviewers agreed and the kappa statistic. The kappa for agreement between the surgeon and each RC ranged from 0.59 to 1 for one RC and 0.49 to 1 for the other; the percent agreement ranged from 82% to 100% for one RC and 70% to 100% for the other. The repeated abstractions by the same RC showed high intra-rater agreement, with kappas ranging from 0.66 to 1 and percent agreement ranging from 97% to 100%. Inter-rater agreement between the two RCs was moderate with kappa ranging from 0.49 to 1 and percent agreement ranging from 76% to 100%. The MRR method used in this study showed excellent reliability for abstraction of information that had low technical complexity and moderate to good reliability for information that had greater complexity. Overall, these findings support the use of non-surgeons to abstract surgical data from operative notes.

  16. Metadata Dictionary Database: A Proposed Tool for Academic Library Metadata Management

    ERIC Educational Resources Information Center

    Southwick, Silvia B.; Lampert, Cory

    2011-01-01

    This article proposes a metadata dictionary (MDD) be used as a tool for metadata management. The MDD is a repository of critical data necessary for managing metadata to create "shareable" digital collections. An operational definition of metadata management is provided. The authors explore activities involved in metadata management in…

  17. The New Online Metadata Editor for Generating Structured Metadata

    NASA Astrophysics Data System (ADS)

    Devarakonda, R.; Shrestha, B.; Palanisamy, G.; Hook, L.; Killeffer, T.; Boden, T.; Cook, R. B.; Zolly, L.; Hutchison, V.; Frame, M. T.; Cialella, A. T.; Lazer, K.

    2014-12-01

    Nobody is better suited to "describe" data than the scientist who created it. This "description" about a data is called Metadata. In general terms, Metadata represents the who, what, when, where, why and how of the dataset. eXtensible Markup Language (XML) is the preferred output format for metadata, as it makes it portable and, more importantly, suitable for system discoverability. The newly developed ORNL Metadata Editor (OME) is a Web-based tool that allows users to create and maintain XML files containing key information, or metadata, about the research. Metadata include information about the specific projects, parameters, time periods, and locations associated with the data. Such information helps put the research findings in context. In addition, the metadata produced using OME will allow other researchers to find these data via Metadata clearinghouses like Mercury [1] [2]. Researchers simply use the ORNL Metadata Editor to enter relevant metadata into a Web-based form. How is OME helping Big Data Centers like ORNL DAAC? The ORNL DAAC is one of NASA's Earth Observing System Data and Information System (EOSDIS) data centers managed by the ESDIS Project. The ORNL DAAC archives data produced by NASA's Terrestrial Ecology Program. The DAAC provides data and information relevant to biogeochemical dynamics, ecological data, and environmental processes, critical for understanding the dynamics relating to the biological components of the Earth's environment. Typically data produced, archived and analyzed is at a scale of multiple petabytes, which makes the discoverability of the data very challenging. Without proper metadata associated with the data, it is difficult to find the data you are looking for and equally difficult to use and understand the data. OME will allow data centers like the ORNL DAAC to produce meaningful, high quality, standards-based, descriptive information about their data products in-turn helping with the data discoverability and

  18. From the inside-out: Retrospectives on a metadata improvement process to advance the discoverability of NASÁs earth science data

    NASA Astrophysics Data System (ADS)

    Hernández, B. E.; Bugbee, K.; le Roux, J.; Beaty, T.; Hansen, M.; Staton, P.; Sisco, A. W.

    2017-12-01

    Earth observation (EO) data collected as part of NASA's Earth Observing System Data and Information System (EOSDIS) is now searchable via the Common Metadata Repository (CMR). The Analysis and Review of CMR (ARC) Team at Marshall Space Flight Center has been tasked with reviewing all NASA metadata records in the CMR ( 7,000 records). Each collection level record and constituent granule level metadata are reviewed for both completeness as well as compliance with the CMR's set of metadata standards, as specified in the Unified Metadata Model (UMM). NASA's Distributed Active Archive Centers (DAACs) have been harmonizing priority metadata records within the context of the inter-agency federal Big Earth Data Initiative (BEDI), which seeks to improve the discoverability, accessibility, and usability of EO data. Thus, the first phase of this project constitutes reviewing BEDI metadata records, while the second phase will constitute reviewing the remaining non-BEDI records in CMR. This presentation will discuss the ARC team's findings in terms of the overall quality of BEDI records across all DAACs as well as compliance with UMM standards. For instance, only a fifth of the collection-level metadata fields needed correction, compared to a quarter of the granule-level fields. It should be noted that the degree to which DAACs' metadata did not comply with the UMM standards may reflect multiple factors, such as recent changes in the UMM standards, and the utilization of different metadata formats (e.g. DIF 10, ECHO 10, ISO 19115-1) across the DAACs. Insights, constructive criticism, and lessons learned from this metadata review process will be contributed from both ORNL and SEDAC. Further inquiry along such lines may lead to insights which may improve the metadata curation process moving forward. In terms of the broader implications for metadata compliance with the UMM standards, this research has shown that a large proportion of the prioritized collections have already been

  19. Abstracts of SIG Sessions.

    ERIC Educational Resources Information Center

    Proceedings of the ASIS Annual Meeting, 1997

    1997-01-01

    Presents abstracts of SIG Sessions. Highlights include digital collections; information retrieval methods; public interest/fair use; classification and indexing; electronic publication; funding; globalization; information technology projects; interface design; networking in developing countries; metadata; multilingual databases; networked…

  20. Metadata management for high content screening in OMERO.

    PubMed

    Li, Simon; Besson, Sébastien; Blackburn, Colin; Carroll, Mark; Ferguson, Richard K; Flynn, Helen; Gillen, Kenneth; Leigh, Roger; Lindner, Dominik; Linkert, Melissa; Moore, William J; Ramalingam, Balaji; Rozbicki, Emil; Rustici, Gabriella; Tarkowska, Aleksandra; Walczysko, Petr; Williams, Eleanor; Allan, Chris; Burel, Jean-Marie; Moore, Josh; Swedlow, Jason R

    2016-03-01

    High content screening (HCS) experiments create a classic data management challenge-multiple, large sets of heterogeneous structured and unstructured data, that must be integrated and linked to produce a set of "final" results. These different data include images, reagents, protocols, analytic output, and phenotypes, all of which must be stored, linked and made accessible for users, scientists, collaborators and where appropriate the wider community. The OME Consortium has built several open source tools for managing, linking and sharing these different types of data. The OME Data Model is a metadata specification that supports the image data and metadata recorded in HCS experiments. Bio-Formats is a Java library that reads recorded image data and metadata and includes support for several HCS screening systems. OMERO is an enterprise data management application that integrates image data, experimental and analytic metadata and makes them accessible for visualization, mining, sharing and downstream analysis. We discuss how Bio-Formats and OMERO handle these different data types, and how they can be used to integrate, link and share HCS experiments in facilities and public data repositories. OME specifications and software are open source and are available at https://www.openmicroscopy.org. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

  1. Stop the Bleeding: the Development of a Tool to Streamline NASA Earth Science Metadata Curation Efforts

    NASA Astrophysics Data System (ADS)

    le Roux, J.; Baker, A.; Caltagirone, S.; Bugbee, K.

    2017-12-01

    The Common Metadata Repository (CMR) is a high-performance, high-quality repository for Earth science metadata records, and serves as the primary way to search NASA's growing 17.5 petabytes of Earth science data holdings. Released in 2015, CMR has the capability to support several different metadata standards already being utilized by NASA's combined network of Earth science data providers, or Distributed Active Archive Centers (DAACs). The Analysis and Review of CMR (ARC) Team located at Marshall Space Flight Center is working to improve the quality of records already in CMR with the goal of making records optimal for search and discovery. This effort entails a combination of automated and manual review, where each NASA record in CMR is checked for completeness, accuracy, and consistency. This effort is highly collaborative in nature, requiring communication and transparency of findings amongst NASA personnel, DAACs, the CMR team and other metadata curation teams. Through the evolution of this project it has become apparent that there is a need to document and report findings, as well as track metadata improvements in a more efficient manner. The ARC team has collaborated with Element 84 in order to develop a metadata curation tool to meet these needs. In this presentation, we will provide an overview of this metadata curation tool and its current capabilities. Challenges and future plans for the tool will also be discussed.

  2. A standard for measuring metadata quality in spectral libraries

    NASA Astrophysics Data System (ADS)

    Rasaiah, B.; Jones, S. D.; Bellman, C.

    2013-12-01

    A standard for measuring metadata quality in spectral libraries Barbara Rasaiah, Simon Jones, Chris Bellman RMIT University Melbourne, Australia barbara.rasaiah@rmit.edu.au, simon.jones@rmit.edu.au, chris.bellman@rmit.edu.au ABSTRACT There is an urgent need within the international remote sensing community to establish a metadata standard for field spectroscopy that ensures high quality, interoperable metadata sets that can be archived and shared efficiently within Earth observation data sharing systems. Metadata are an important component in the cataloguing and analysis of in situ spectroscopy datasets because of their central role in identifying and quantifying the quality and reliability of spectral data and the products derived from them. This paper presents approaches to measuring metadata completeness and quality in spectral libraries to determine reliability, interoperability, and re-useability of a dataset. Explored are quality parameters that meet the unique requirements of in situ spectroscopy datasets, across many campaigns. Examined are the challenges presented by ensuring that data creators, owners, and data users ensure a high level of data integrity throughout the lifecycle of a dataset. Issues such as field measurement methods, instrument calibration, and data representativeness are investigated. The proposed metadata standard incorporates expert recommendations that include metadata protocols critical to all campaigns, and those that are restricted to campaigns for specific target measurements. The implication of semantics and syntax for a robust and flexible metadata standard are also considered. Approaches towards an operational and logistically viable implementation of a quality standard are discussed. This paper also proposes a way forward for adapting and enhancing current geospatial metadata standards to the unique requirements of field spectroscopy metadata quality. [0430] BIOGEOSCIENCES / Computational methods and data processing [0480

  3. Abstracting ICU Nursing Care Quality Data From the Electronic Health Record.

    PubMed

    Seaman, Jennifer B; Evans, Anna C; Sciulli, Andrea M; Barnato, Amber E; Sereika, Susan M; Happ, Mary Beth

    2017-09-01

    The electronic health record is a potentially rich source of data for clinical research in the intensive care unit setting. We describe the iterative, multi-step process used to develop and test a data abstraction tool, used for collection of nursing care quality indicators from the electronic health record, for a pragmatic trial. We computed Cohen's kappa coefficient (κ) to assess interrater agreement or reliability of data abstracted using preliminary and finalized tools. In assessing the reliability of study data ( n = 1,440 cases) using the finalized tool, 108 randomly selected cases (10% of first half sample; 5% of last half sample) were independently abstracted by a second rater. We demonstrated mean κ values ranging from 0.61 to 0.99 for all indicators. Nursing care quality data can be accurately and reliably abstracted from the electronic health records of intensive care unit patients using a well-developed data collection tool and detailed training.

  4. THE NEW ONLINE METADATA EDITOR FOR GENERATING STRUCTURED METADATA

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Devarakonda, Ranjeet; Shrestha, Biva; Palanisamy, Giri

    Nobody is better suited to describe data than the scientist who created it. This description about a data is called Metadata. In general terms, Metadata represents the who, what, when, where, why and how of the dataset [1]. eXtensible Markup Language (XML) is the preferred output format for metadata, as it makes it portable and, more importantly, suitable for system discoverability. The newly developed ORNL Metadata Editor (OME) is a Web-based tool that allows users to create and maintain XML files containing key information, or metadata, about the research. Metadata include information about the specific projects, parameters, time periods, andmore » locations associated with the data. Such information helps put the research findings in context. In addition, the metadata produced using OME will allow other researchers to find these data via Metadata clearinghouses like Mercury [2][4]. OME is part of ORNL s Mercury software fleet [2][3]. It was jointly developed to support projects funded by the United States Geological Survey (USGS), U.S. Department of Energy (DOE), National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Administration (NOAA). OME s architecture provides a customizable interface to support project-specific requirements. Using this new architecture, the ORNL team developed OME instances for USGS s Core Science Analytics, Synthesis, and Libraries (CSAS&L), DOE s Next Generation Ecosystem Experiments (NGEE) and Atmospheric Radiation Measurement (ARM) Program, and the international Surface Ocean Carbon Dioxide ATlas (SOCAT). Researchers simply use the ORNL Metadata Editor to enter relevant metadata into a Web-based form. From the information on the form, the Metadata Editor can create an XML file on the server that the editor is installed or to the user s personal computer. Researchers can also use the ORNL Metadata Editor to modify existing XML metadata files. As an example, an NGEE Arctic scientist use OME to

  5. Evolutions in Metadata Quality

    NASA Astrophysics Data System (ADS)

    Gilman, J.

    2016-12-01

    Metadata Quality is one of the chief drivers of discovery and use of NASA EOSDIS (Earth Observing System Data and Information System) data. Issues with metadata such as lack of completeness, inconsistency, and use of legacy terms directly hinder data use. As the central metadata repository for NASA Earth Science data, the Common Metadata Repository (CMR) has a responsibility to its users to ensure the quality of CMR search results. This talk will cover how we encourage metadata authors to improve the metadata through the use of integrated rubrics of metadata quality and outreach efforts. In addition we'll demonstrate Humanizers, a technique for dealing with the symptoms of metadata issues. Humanizers allow CMR administrators to identify specific metadata issues that are fixed at runtime when the data is indexed. An example Humanizer is the aliasing of processing level "Level 1" to "1" to improve consistency across collections. The CMR currently indexes 35K collections and 300M granules.

  6. CMR Metadata Curation

    NASA Technical Reports Server (NTRS)

    Shum, Dana; Bugbee, Kaylin

    2017-01-01

    This talk explains the ongoing metadata curation activities in the Common Metadata Repository. It explores tools that exist today which are useful for building quality metadata and also opens up the floor for discussions on other potentially useful tools.

  7. Evolution in Metadata Quality: Common Metadata Repository's Role in NASA Curation Efforts

    NASA Technical Reports Server (NTRS)

    Gilman, Jason; Shum, Dana; Baynes, Katie

    2016-01-01

    Metadata Quality is one of the chief drivers of discovery and use of NASA EOSDIS (Earth Observing System Data and Information System) data. Issues with metadata such as lack of completeness, inconsistency, and use of legacy terms directly hinder data use. As the central metadata repository for NASA Earth Science data, the Common Metadata Repository (CMR) has a responsibility to its users to ensure the quality of CMR search results. This poster covers how we use humanizers, a technique for dealing with the symptoms of metadata issues, as well as our plans for future metadata validation enhancements. The CMR currently indexes 35K collections and 300M granules.

  8. EUDAT B2FIND : A Cross-Discipline Metadata Service and Discovery Portal

    NASA Astrophysics Data System (ADS)

    Widmann, Heinrich; Thiemann, Hannes

    2016-04-01

    The European Data Infrastructure (EUDAT) project aims at a pan-European environment that supports a variety of multiple research communities and individuals to manage the rising tide of scientific data by advanced data management technologies. This led to the establishment of the community-driven Collaborative Data Infrastructure that implements common data services and storage resources to tackle the basic requirements and the specific challenges of international and interdisciplinary research data management. The metadata service B2FIND plays a central role in this context by providing a simple and user-friendly discovery portal to find research data collections stored in EUDAT data centers or in other repositories. For this we store the diverse metadata collected from heterogeneous sources in a comprehensive joint metadata catalogue and make them searchable in an open data portal. The implemented metadata ingestion workflow consists of three steps. First the metadata records - provided either by various research communities or via other EUDAT services - are harvested. Afterwards the raw metadata records are converted and mapped to unified key-value dictionaries as specified by the B2FIND schema. The semantic mapping of the non-uniform, community specific metadata to homogenous structured datasets is hereby the most subtle and challenging task. To assure and improve the quality of the metadata this mapping process is accompanied by • iterative and intense exchange with the community representatives, • usage of controlled vocabularies and community specific ontologies and • formal and semantic validation. Finally the mapped and checked records are uploaded as datasets to the catalogue, which is based on the open source data portal software CKAN. CKAN provides a rich RESTful JSON API and uses SOLR for dataset indexing that enables users to query and search in the catalogue. The homogenization of the community specific data models and vocabularies enables not

  9. International Metadata Standards and Enterprise Data Quality Metadata Systems

    NASA Astrophysics Data System (ADS)

    Habermann, T.

    2016-12-01

    Well-documented data quality is critical in situations where scientists and decision-makers need to combine multiple datasets from different disciplines and collection systems to address scientific questions or difficult decisions. Standardized data quality metadata could be very helpful in these situations. Many efforts at developing data quality standards falter because of the diversity of approaches to measuring and reporting data quality. The "one size fits all" paradigm does not generally work well in this situation. The ISO data quality standard (ISO 19157) takes a different approach with the goal of systematically describing how data quality is measured rather than how it should be measured. It introduces the idea of standard data quality measures that can be well documented in a measure repository and used for consistently describing how data quality is measured across an enterprise. The standard includes recommendations for properties of these measures that include unique identifiers, references, illustrations and examples. Metadata records can reference these measures using the unique identifier and reuse them along with details (and references) that describe how the measure was applied to a particular dataset. A second important feature of ISO 19157 is the inclusion of citations to existing papers or reports that describe quality of a dataset. This capability allows users to find this information in a single location, i.e. the dataset metadata, rather than searching the web or other catalogs. I will describe these and other capabilities of ISO 19157 with examples of how they are being used to describe data quality across the NASA EOS Enterprise and also compare these approaches with other standards.

  10. Discovering Physical Samples Through Identifiers, Metadata, and Brokering

    NASA Astrophysics Data System (ADS)

    Arctur, D. K.; Hills, D. J.; Jenkyns, R.

    2015-12-01

    Physical samples, particularly in the geosciences, are key to understanding the Earth system, its history, and its evolution. Our record of the Earth as captured by physical samples is difficult to explain and mine for understanding, due to incomplete, disconnected, and evolving metadata content. This is further complicated by differing ways of classifying, cataloguing, publishing, and searching the metadata, especially when specimens do not fit neatly into a single domain—for example, fossils cross disciplinary boundaries (mineral and biological). Sometimes even the fundamental classification systems evolve, such as the geological time scale, triggering daunting processes to update existing specimen databases. Increasingly, we need to consider ways of leveraging permanent, unique identifiers, as well as advancements in metadata publishing that link digital records with physical samples in a robust, adaptive way. An NSF EarthCube Research Coordination Network (RCN) called the Internet of Samples (iSamples) is now working to bridge the metadata schemas for biological and geological domains. We are leveraging the International Geo Sample Number (IGSN) that provides a versatile system of registering physical samples, and working to harmonize this with the DataCite schema for Digital Object Identifiers (DOI). A brokering approach for linking disparate catalogues and classification systems could help scale discovery and access to the many large collections now being managed (sometimes millions of specimens per collection). This presentation is about our community building efforts, research directions, and insights to date.

  11. Harvesting NASA's Common Metadata Repository

    NASA Astrophysics Data System (ADS)

    Shum, D.; Mitchell, A. E.; Durbin, C.; Norton, J.

    2017-12-01

    As part of NASA's Earth Observing System Data and Information System (EOSDIS), the Common Metadata Repository (CMR) stores metadata for over 30,000 datasets from both NASA and international providers along with over 300M granules. This metadata enables sub-second discovery and facilitates data access. While the CMR offers a robust temporal, spatial and keyword search functionality to the general public and international community, it is sometimes more desirable for international partners to harvest the CMR metadata and merge the CMR metadata into a partner's existing metadata repository. This poster will focus on best practices to follow when harvesting CMR metadata to ensure that any changes made to the CMR can also be updated in a partner's own repository. Additionally, since each partner has distinct metadata formats they are able to consume, the best practices will also include guidance on retrieving the metadata in the desired metadata format using CMR's Unified Metadata Model translation software.

  12. BASINS Metadata

    EPA Pesticide Factsheets

    Metadata or data about data describes the content, quality, condition, and other characteristics of data. Geospatial metadata are critical to data discovery and serves as the fuel for the Geospatial One-Stop data portal.

  13. Fast processing of digital imaging and communications in medicine (DICOM) metadata using multiseries DICOM format

    PubMed Central

    Ismail, Mahmoud; Philbin, James

    2015-01-01

    Abstract. The digital imaging and communications in medicine (DICOM) information model combines pixel data and its metadata in a single object. There are user scenarios that only need metadata manipulation, such as deidentification and study migration. Most picture archiving and communication system use a database to store and update the metadata rather than updating the raw DICOM files themselves. The multiseries DICOM (MSD) format separates metadata from pixel data and eliminates duplicate attributes. This work promotes storing DICOM studies in MSD format to reduce the metadata processing time. A set of experiments are performed that update the metadata of a set of DICOM studies for deidentification and migration. The studies are stored in both the traditional single frame DICOM (SFD) format and the MSD format. The results show that it is faster to update studies’ metadata in MSD format than in SFD format because the bulk data is separated in MSD and is not retrieved from the storage system. In addition, it is space efficient to store the deidentified studies in MSD format as it shares the same bulk data object with the original study. In summary, separation of metadata from pixel data using the MSD format provides fast metadata access and speeds up applications that process only the metadata. PMID:26158117

  14. Content standards for medical image metadata

    NASA Astrophysics Data System (ADS)

    d'Ornellas, Marcos C.; da Rocha, Rafael P.

    2003-12-01

    Medical images are at the heart of the healthcare diagnostic procedures. They have provided not only a noninvasive mean to view anatomical cross-sections of internal organs but also a mean for physicians to evaluate the patient"s diagnosis and monitor the effects of the treatment. For a Medical Center, the emphasis may shift from the generation of image to post processing and data management since the medical staff may generate even more processed images and other data from the original image after various analyses and post processing. A medical image data repository for health care information system is becoming a critical need. This data repository would contain comprehensive patient records, including information such as clinical data and related diagnostic images, and post-processed images. Due to the large volume and complexity of the data as well as the diversified user access requirements, the implementation of the medical image archive system will be a complex and challenging task. This paper discusses content standards for medical image metadata. In addition it also focuses on the image metadata content evaluation and metadata quality management.

  15. ASDC Collaborations and Processes to Ensure Quality Metadata and Consistent Data Availability

    NASA Astrophysics Data System (ADS)

    Trapasso, T. J.

    2017-12-01

    With the introduction of new tools, faster computing, and less expensive storage, increased volumes of data are expected to be managed with existing or fewer resources. Metadata management is becoming a heightened challenge from the increase in data volume, resulting in more metadata records needed to be curated for each product. To address metadata availability and completeness, NASA ESDIS has taken significant strides with the creation of the United Metadata Model (UMM) and Common Metadata Repository (CMR). These UMM helps address hurdles experienced by the increasing number of metadata dialects and the CMR provides a primary repository for metadata so that required metadata fields can be served through a growing number of tools and services. However, metadata quality remains an issue as metadata is not always inherent to the end-user. In response to these challenges, the NASA Atmospheric Science Data Center (ASDC) created the Collaboratory for quAlity Metadata Preservation (CAMP) and defined the Product Lifecycle Process (PLP) to work congruently. CAMP is unique in that it provides science team members a UI to directly supply metadata that is complete, compliant, and accurate for their data products. This replaces back-and-forth communication that often results in misinterpreted metadata. Upon review by ASDC staff, metadata is submitted to CMR for broader distribution through Earthdata. Further, approval of science team metadata in CAMP automatically triggers the ASDC PLP workflow to ensure appropriate services are applied throughout the product lifecycle. This presentation will review the design elements of CAMP and PLP as well as demonstrate interfaces to each. It will show the benefits that CAMP and PLP provide to the ASDC that could potentially benefit additional NASA Earth Science Data and Information System (ESDIS) Distributed Active Archive Centers (DAACs).

  16. Metabolonote: A Wiki-Based Database for Managing Hierarchical Metadata of Metabolome Analyses

    PubMed Central

    Ara, Takeshi; Enomoto, Mitsuo; Arita, Masanori; Ikeda, Chiaki; Kera, Kota; Yamada, Manabu; Nishioka, Takaaki; Ikeda, Tasuku; Nihei, Yoshito; Shibata, Daisuke; Kanaya, Shigehiko; Sakurai, Nozomu

    2015-01-01

    Metabolomics – technology for comprehensive detection of small molecules in an organism – lags behind the other “omics” in terms of publication and dissemination of experimental data. Among the reasons for this are difficulty precisely recording information about complicated analytical experiments (metadata), existence of various databases with their own metadata descriptions, and low reusability of the published data, resulting in submitters (the researchers who generate the data) being insufficiently motivated. To tackle these issues, we developed Metabolonote, a Semantic MediaWiki-based database designed specifically for managing metabolomic metadata. We also defined a metadata and data description format, called “Togo Metabolome Data” (TogoMD), with an ID system that is required for unique access to each level of the tree-structured metadata such as study purpose, sample, analytical method, and data analysis. Separation of the management of metadata from that of data and permission to attach related information to the metadata provide advantages for submitters, readers, and database developers. The metadata are enriched with information such as links to comparable data, thereby functioning as a hub of related data resources. They also enhance not only readers’ understanding and use of data but also submitters’ motivation to publish the data. The metadata are computationally shared among other systems via APIs, which facilitate the construction of novel databases by database developers. A permission system that allows publication of immature metadata and feedback from readers also helps submitters to improve their metadata. Hence, this aspect of Metabolonote, as a metadata preparation tool, is complementary to high-quality and persistent data repositories such as MetaboLights. A total of 808 metadata for analyzed data obtained from 35 biological species are published currently. Metabolonote and related tools are available free of cost at http

  17. Metabolonote: a wiki-based database for managing hierarchical metadata of metabolome analyses.

    PubMed

    Ara, Takeshi; Enomoto, Mitsuo; Arita, Masanori; Ikeda, Chiaki; Kera, Kota; Yamada, Manabu; Nishioka, Takaaki; Ikeda, Tasuku; Nihei, Yoshito; Shibata, Daisuke; Kanaya, Shigehiko; Sakurai, Nozomu

    2015-01-01

    Metabolomics - technology for comprehensive detection of small molecules in an organism - lags behind the other "omics" in terms of publication and dissemination of experimental data. Among the reasons for this are difficulty precisely recording information about complicated analytical experiments (metadata), existence of various databases with their own metadata descriptions, and low reusability of the published data, resulting in submitters (the researchers who generate the data) being insufficiently motivated. To tackle these issues, we developed Metabolonote, a Semantic MediaWiki-based database designed specifically for managing metabolomic metadata. We also defined a metadata and data description format, called "Togo Metabolome Data" (TogoMD), with an ID system that is required for unique access to each level of the tree-structured metadata such as study purpose, sample, analytical method, and data analysis. Separation of the management of metadata from that of data and permission to attach related information to the metadata provide advantages for submitters, readers, and database developers. The metadata are enriched with information such as links to comparable data, thereby functioning as a hub of related data resources. They also enhance not only readers' understanding and use of data but also submitters' motivation to publish the data. The metadata are computationally shared among other systems via APIs, which facilitate the construction of novel databases by database developers. A permission system that allows publication of immature metadata and feedback from readers also helps submitters to improve their metadata. Hence, this aspect of Metabolonote, as a metadata preparation tool, is complementary to high-quality and persistent data repositories such as MetaboLights. A total of 808 metadata for analyzed data obtained from 35 biological species are published currently. Metabolonote and related tools are available free of cost at http://metabolonote.kazusa.or.jp/.

  18. docBUILDER - Building Your Useful Metadata for Earth Science Data and Services.

    NASA Astrophysics Data System (ADS)

    Weir, H. M.; Pollack, J.; Olsen, L. M.; Major, G. R.

    2005-12-01

    The docBUILDER tool, created by NASA's Global Change Master Directory (GCMD), assists the scientific community in efficiently creating quality data and services metadata. Metadata authors are asked to complete five required fields to ensure enough information is provided for users to discover the data and related services they seek. After the metadata record is submitted to the GCMD, it is reviewed for semantic and syntactic consistency. Currently, two versions are available - a Web-based tool accessible with most browsers (docBUILDERweb) and a stand-alone desktop application (docBUILDERsolo). The Web version is available through the GCMD website, at http://gcmd.nasa.gov/User/authoring.html. This version has been updated and now offers: personalized templates to ease entering similar information for multiple data sets/services; automatic population of Data Center/Service Provider URLs based on the selected center/provider; three-color support to indicate required, recommended, and optional fields; an editable text window containing the XML record, to allow for quick editing; and improved overall performance and presentation. The docBUILDERsolo version offers the ability to create metadata records on a computer wherever you are. Except for installation and the occasional update of keywords, data/service providers are not required to have an Internet connection. This freedom will allow users with portable computers (Windows, Mac, and Linux) to create records in field campaigns, whether in Antarctica or the Australian Outback. This version also offers a spell-checker, in addition to all of the features found in the Web version.

  19. Data Bookkeeping Service 3 - Providing Event Metadata in CMS

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Giffels, Manuel; Guo, Y.; Riley, Daniel

    The Data Bookkeeping Service 3 provides a catalog of event metadata for Monte Carlo and recorded data of the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN, Geneva. It comprises all necessary information for tracking datasets, their processing history and associations between runs, files and datasets, on a large scale of about 200, 000 datasets and more than 40 million files, which adds up in around 700 GB of metadata. The DBS is an essential part of the CMS Data Management and Workload Management (DMWM) systems [1], all kind of data-processing like Monte Carlo production,more » processing of recorded event data as well as physics analysis done by the users are heavily relying on the information stored in DBS.« less

  20. Harvesting NASA's Common Metadata Repository (CMR)

    NASA Technical Reports Server (NTRS)

    Shum, Dana; Durbin, Chris; Norton, James; Mitchell, Andrew

    2017-01-01

    As part of NASA's Earth Observing System Data and Information System (EOSDIS), the Common Metadata Repository (CMR) stores metadata for over 30,000 datasets from both NASA and international providers along with over 300M granules. This metadata enables sub-second discovery and facilitates data access. While the CMR offers a robust temporal, spatial and keyword search functionality to the general public and international community, it is sometimes more desirable for international partners to harvest the CMR metadata and merge the CMR metadata into a partner's existing metadata repository. This poster will focus on best practices to follow when harvesting CMR metadata to ensure that any changes made to the CMR can also be updated in a partner's own repository. Additionally, since each partner has distinct metadata formats they are able to consume, the best practices will also include guidance on retrieving the metadata in the desired metadata format using CMR's Unified Metadata Model translation software.

  1. Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators

    ERIC Educational Resources Information Center

    Mayernik, Matthew Stephen

    2011-01-01

    As digital data creation technologies become more prevalent, data and metadata management are necessary to make data available, usable, sharable, and storable. Researchers in many scientific settings, however, have little experience or expertise in data and metadata management. In this dissertation, I explore the everyday data and metadata…

  2. Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO).

    PubMed

    Panahiazar, Maryam; Dumontier, Michel; Gevaert, Olivier

    2017-08-01

    A crucial and limiting factor in data reuse is the lack of accurate, structured, and complete descriptions of data, known as metadata. Towards improving the quantity and quality of metadata, we propose a novel metadata prediction framework to learn associations from existing metadata that can be used to predict metadata values. We evaluate our framework in the context of experimental metadata from the Gene Expression Omnibus (GEO). We applied four rule mining algorithms to the most common structured metadata elements (sample type, molecular type, platform, label type and organism) from over 1.3million GEO records. We examined the quality of well supported rules from each algorithm and visualized the dependencies among metadata elements. Finally, we evaluated the performance of the algorithms in terms of accuracy, precision, recall, and F-measure. We found that PART is the best algorithm outperforming Apriori, Predictive Apriori, and Decision Table. All algorithms perform significantly better in predicting class values than the majority vote classifier. We found that the performance of the algorithms is related to the dimensionality of the GEO elements. The average performance of all algorithm increases due of the decreasing of dimensionality of the unique values of these elements (2697 platforms, 537 organisms, 454 labels, 9 molecules, and 5 types). Our work suggests that experimental metadata such as present in GEO can be accurately predicted using rule mining algorithms. Our work has implications for both prospective and retrospective augmentation of metadata quality, which are geared towards making data easier to find and reuse. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  3. Automated Metadata Extraction

    DTIC Science & Technology

    2008-06-01

    provides a means for file owners to add metadata which can then be used by iTunes for cataloging and searching [4]. Metadata can be stored in different...based and contain AAC data formats [3]. Specifically, Apple uses Protected AAC to encode copy-protected music titles purchased from the iTunes Music...Store [4]. The files purchased from the iTunes Music Store include the following metadata. • Name • Email address of purchaser • Year • Album

  4. EOS ODL Metadata On-line Viewer

    NASA Astrophysics Data System (ADS)

    Yang, J.; Rabi, M.; Bane, B.; Ullman, R.

    2002-12-01

    We have recently developed and deployed an EOS ODL metadata on-line viewer. The EOS ODL metadata viewer is a web server that takes: 1) an EOS metadata file in Object Description Language (ODL), 2) parameters, such as which metadata to view and what style of display to use, and returns an HTML or XML document displaying the requested metadata in the requested style. This tool is developed to address widespread complaints by science community that the EOS Data and Information System (EOSDIS) metadata files in ODL are difficult to read by allowing users to upload and view an ODL metadata file in different styles using a web browser. Users have the selection to view all the metadata or part of the metadata, such as Collection metadata, Granule metadata, or Unsupported Metadata. Choices of display styles include 1) Web: a mouseable display with tabs and turn-down menus, 2) Outline: Formatted and colored text, suitable for printing, 3) Generic: Simple indented text, a direct representation of the underlying ODL metadata, and 4) None: No stylesheet is applied and the XML generated by the converter is returned directly. Not all display styles are implemented for all the metadata choices. For example, Web style is only implemented for Collection and Granule metadata groups with known attribute fields, but not for Unsupported, Other, and All metadata. The overall strategy of the ODL viewer is to transform an ODL metadata file to a viewable HTML in two steps. The first step is to convert the ODL metadata file to an XML using a Java-based parser/translator called ODL2XML. The second step is to transform the XML to an HTML using stylesheets. Both operations are done on the server side. This allows a lot of flexibility in the final result, and is very portable cross-platform. Perl CGI behind the Apache web server is used to run the Java ODL2XML, and then run the results through an XSLT processor. The EOS ODL viewer can be accessed from either a PC or a Mac using Internet

  5. New Tools to Document and Manage Data/Metadata: Example NGEE Arctic and ARM

    NASA Astrophysics Data System (ADS)

    Crow, M. C.; Devarakonda, R.; Killeffer, T.; Hook, L.; Boden, T.; Wullschleger, S.

    2017-12-01

    Tools used for documenting, archiving, cataloging, and searching data are critical pieces of informatics. This poster describes tools being used in several projects at Oak Ridge National Laboratory (ORNL), with a focus on the U.S. Department of Energy's Next Generation Ecosystem Experiment in the Arctic (NGEE Arctic) and Atmospheric Radiation Measurements (ARM) project, and their usage at different stages of the data lifecycle. The Online Metadata Editor (OME) is used for the documentation and archival stages while a Data Search tool supports indexing, cataloging, and searching. The NGEE Arctic OME Tool [1] provides a method by which researchers can upload their data and provide original metadata with each upload while adhering to standard metadata formats. The tool is built upon a Java SPRING framework to parse user input into, and from, XML output. Many aspects of the tool require use of a relational database including encrypted user-login, auto-fill functionality for predefined sites and plots, and file reference storage and sorting. The Data Search Tool conveniently displays each data record in a thumbnail containing the title, source, and date range, and features a quick view of the metadata associated with that record, as well as a direct link to the data. The search box incorporates autocomplete capabilities for search terms and sorted keyword filters are available on the side of the page, including a map for geo-searching. These tools are supported by the Mercury [2] consortium (funded by DOE, NASA, USGS, and ARM) and developed and managed at Oak Ridge National Laboratory. Mercury is a set of tools for collecting, searching, and retrieving metadata and data. Mercury collects metadata from contributing project servers, then indexes the metadata to make it searchable using Apache Solr, and provides access to retrieve it from the web page. Metadata standards that Mercury supports include: XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115.

  6. Visualization of JPEG Metadata

    NASA Astrophysics Data System (ADS)

    Malik Mohamad, Kamaruddin; Deris, Mustafa Mat

    There are a lot of information embedded in JPEG image than just graphics. Visualization of its metadata would benefit digital forensic investigator to view embedded data including corrupted image where no graphics can be displayed in order to assist in evidence collection for cases such as child pornography or steganography. There are already available tools such as metadata readers, editors and extraction tools but mostly focusing on visualizing attribute information of JPEG Exif. However, none have been done to visualize metadata by consolidating markers summary, header structure, Huffman table and quantization table in a single program. In this paper, metadata visualization is done by developing a program that able to summarize all existing markers, header structure, Huffman table and quantization table in JPEG. The result shows that visualization of metadata helps viewing the hidden information within JPEG more easily.

  7. Interoperable Solar Data and Metadata via LISIRD 3

    NASA Astrophysics Data System (ADS)

    Wilson, A.; Lindholm, D. M.; Pankratz, C. K.; Snow, M. A.; Woods, T. N.

    2015-12-01

    LISIRD 3 is a major upgrade of the LASP Interactive Solar Irradiance Data Center (LISIRD), which serves several dozen space based solar irradiance and related data products to the public. Through interactive plots, LISIRD 3 provides data browsing supported by data subsetting and aggregation. Incorporating a semantically enabled metadata repository, LISIRD 3 users see current, vetted, consistent information about the datasets offered. Users can now also search for datasets based on metadata fields such as dataset type and/or spectral or temporal range. This semantic database enables metadata browsing, so users can discover the relationships between datasets, instruments, spacecraft, mission and PI. The database also enables creation and publication of metadata records in a variety of formats, such as SPASE or ISO, making these datasets more discoverable. The database also enables the possibility of a public SPARQL endpoint, making the metadata browsable in an automated fashion. LISIRD 3's data access middleware, LaTiS, provides dynamic, on demand reformatting of data and timestamps, subsetting and aggregation, and other server side functionality via a RESTful OPeNDAP compliant API, enabling interoperability between LASP datasets and many common tools. LISIRD 3's templated front end design, coupled with the uniform data interface offered by LaTiS, allows easy integration of new datasets. Consequently the number and variety of datasets offered by LISIRD has grown to encompass several dozen, with many more to come. This poster will discuss design and implementation of LISIRD 3, including tools used, capabilities enabled, and issues encountered.

  8. Mercury: Reusable software application for Metadata Management, Data Discovery and Access

    NASA Astrophysics Data System (ADS)

    Devarakonda, Ranjeet; Palanisamy, Giri; Green, James; Wilson, Bruce E.

    2009-12-01

    Mercury is a federated metadata harvesting, data discovery and access tool based on both open source packages and custom developed software. It was originally developed for NASA, and the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury is itself a reusable toolset for metadata, with current use in 12 different projects. Mercury also supports the reuse of metadata by enabling searching across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury provides a single portal to information contained in distributed data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. One of the major goals of the recent redesign of Mercury was to improve the software reusability across the projects which currently fund the continuing development of Mercury. These projects span a range of land, atmosphere, and ocean ecological communities and have a number of common needs for metadata searches, but they also have a number of needs specific to one or a few projects To balance these common and project-specific needs, Mercury’s architecture includes three major reusable components; a harvester engine, an indexing system and a user interface component. The harvester engine is responsible for harvesting metadata records from various distributed servers around the USA and around the world. The harvester software was packaged in such a way that all the Mercury projects will use the same harvester scripts but each project will be driven by a set of configuration files. The harvested files are then passed to the Indexing system, where each of the fields in these structured metadata records are indexed properly, so that the query engine can perform

  9. Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management

    USGS Publications Warehouse

    Obuch, Raymond C.; Carlino, Jennifer; Zhang, Lin; Blythe, Jonathan; Dietrich, Christopher; Hawkinson, Christine

    2018-04-12

    The Department of the Interior (DOI) is a Federal agency with over 90,000 employees across 10 bureaus and 8 agency offices. Its primary mission is to protect and manage the Nation’s natural resources and cultural heritage; provide scientific and other information about those resources; and honor its trust responsibilities or special commitments to American Indians, Alaska Natives, and affiliated island communities. Data and information are critical in day-to-day operational decision making and scientific research. DOI is committed to creating, documenting, managing, and sharing high-quality data and metadata in and across its various programs that support its mission. Documenting data through metadata is essential in realizing the value of data as an enterprise asset. The completeness, consistency, and timeliness of metadata affect users’ ability to search for and discover the most relevant data for the intended purpose; and facilitates the interoperability and usability of these data among DOI bureaus and offices. Fully documented metadata describe data usability, quality, accuracy, provenance, and meaning.Across DOI, there are different maturity levels and phases of information and metadata management implementations. The Department has organized a committee consisting of bureau-level points-of-contacts to collaborate on the development of more consistent, standardized, and more effective metadata management practices and guidance to support this shared mission and the information needs of the Department. DOI’s metadata implementation plans establish key roles and responsibilities associated with metadata management processes, procedures, and a series of actions defined in three major metadata implementation phases including: (1) Getting started—Planning Phase, (2) Implementing and Maintaining Operational Metadata Management Phase, and (3) the Next Steps towards Improving Metadata Management Phase. DOI’s phased approach for metadata management addresses

  10. Viewing and Editing Earth Science Metadata MOBE: Metadata Object Browser and Editor in Java

    NASA Astrophysics Data System (ADS)

    Chase, A.; Helly, J.

    2002-12-01

    Metadata is an important, yet often neglected aspect of successful archival efforts. However, to generate robust, useful metadata is often a time consuming and tedious task. We have been approaching this problem from two directions: first by automating metadata creation, pulling from known sources of data, and in addition, what this (paper/poster?) details, developing friendly software for human interaction with the metadata. MOBE and COBE(Metadata Object Browser and Editor, and Canonical Object Browser and Editor respectively), are Java applications for editing and viewing metadata and digital objects. MOBE has already been designed and deployed, currently being integrated into other areas of the SIOExplorer project. COBE is in the design and development stage, being created with the same considerations in mind as those for MOBE. Metadata creation, viewing, data object creation, and data object viewing, when taken on a small scale are all relatively simple tasks. Computer science however, has an infamous reputation for transforming the simple into complex. As a system scales upwards to become more robust, new features arise and additional functionality is added to the software being written to manage the system. The software that emerges from such an evolution, though powerful, is often complex and difficult to use. With MOBE the focus is on a tool that does a small number of tasks very well. The result has been an application that enables users to manipulate metadata in an intuitive and effective way. This allows for a tool that serves its purpose without introducing additional cognitive load onto the user, an end goal we continue to pursue.

  11. Partnerships To Mine Unexploited Sources of Metadata.

    ERIC Educational Resources Information Center

    Reynolds, Regina Romano

    This paper discusses the metadata created for other purposes as a potential source of bibliographic data. The first section addresses collecting metadata by means of templates, including the Nordic Metadata Project's Dublin Core Metadata Template. The second section considers potential partnerships for re-purposing metadata for bibliographic use,…

  12. Data Model and Relational Database Design for Highway Runoff Water-Quality Metadata

    USGS Publications Warehouse

    Granato, Gregory E.; Tessler, Steven

    2001-01-01

    A National highway and urban runoff waterquality metadatabase was developed by the U.S. Geological Survey in cooperation with the Federal Highway Administration as part of the National Highway Runoff Water-Quality Data and Methodology Synthesis (NDAMS). The database was designed to catalog available literature and to document results of the synthesis in a format that would facilitate current and future research on highway and urban runoff. This report documents the design and implementation of the NDAMS relational database, which was designed to provide a catalog of available information and the results of an assessment of the available data. All the citations and the metadata collected during the review process are presented in a stratified metadatabase that contains citations for relevant publications, abstracts (or previa), and reportreview metadata for a sample of selected reports that document results of runoff quality investigations. The database is referred to as a metadatabase because it contains information about available data sets rather than a record of the original data. The database contains the metadata needed to evaluate and characterize how valid, current, complete, comparable, and technically defensible published and available information may be when evaluated for application to the different dataquality objectives as defined by decision makers. This database is a relational database, in that all information is ultimately linked to a given citation in the catalog of available reports. The main database file contains 86 tables consisting of 29 data tables, 11 association tables, and 46 domain tables. The data tables all link to a particular citation, and each data table is focused on one aspect of the information collected in the literature search and the evaluation of available information. This database is implemented in the Microsoft (MS) Access database software because it is widely used within and outside of government and is familiar to many

  13. A Solution to Metadata: Using XML Transformations to Automate Metadata

    DTIC Science & Technology

    2010-06-01

    developed their own metadata standards—Directory Interchange Format (DIF), Ecological Metadata Language ( EML ), and International Organization for...mented all their data using the EML standard. However, when later attempting to publish to a data clearinghouse— such as the Geospatial One-Stop (GOS...construct calls to its transform(s) method by providing the type of the incoming content (e.g., eml ), the type of the resulting content (e.g., fgdc) and

  14. Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction.

    PubMed

    Polnaszek, Brock; Gilmore-Bykovskyi, Andrea; Hovanes, Melissa; Roiland, Rachel; Ferguson, Patrick; Brown, Roger; Kind, Amy J H

    2016-10-01

    Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. As standard abstraction approaches resulted in substandard data reliability for unstructured data elements collected as part of a multisite, retrospective EMR study of hospital discharge communication quality, our goal was to develop, apply and examine the utility of a phase-based approach to reliably abstract unstructured data. This approach is examined using the specific example of discharge communication for warfarin management. We adopted a "fit-for-use" framework to guide the development and evaluation of abstraction methods using a 4-step, phase-based approach including (1) team building; (2) identification of challenges; (3) adaptation of abstraction methods; and (4) systematic data quality monitoring. Unstructured data elements were the focus of this study, including elements communicating steps in warfarin management (eg, warfarin initiation) and medical follow-up (eg, timeframe for follow-up). After implementation of the phase-based approach, interrater reliability for all unstructured data elements demonstrated κ's of ≥0.89-an average increase of +0.25 for each unstructured data element. As compared with standard abstraction methodologies, this phase-based approach was more time intensive, but did markedly increase abstraction reliability for unstructured data elements within multisite EMR documentation.

  15. Descriptive Metadata: Emerging Standards.

    ERIC Educational Resources Information Center

    Ahronheim, Judith R.

    1998-01-01

    Discusses metadata, digital resources, cross-disciplinary activity, and standards. Highlights include Standard Generalized Markup Language (SGML); Extensible Markup Language (XML); Dublin Core; Resource Description Framework (RDF); Text Encoding Initiative (TEI); Encoded Archival Description (EAD); art and cultural-heritage metadata initiatives;…

  16. Making Metadata Better with CMR and MMT

    NASA Technical Reports Server (NTRS)

    Gilman, Jason Arthur; Shum, Dana

    2016-01-01

    Ensuring complete, consistent and high quality metadata is a challenge for metadata providers and curators. The CMR and MMT systems provide providers and curators options to build in metadata quality from the start and also assess and improve the quality of already existing metadata.

  17. Enriched Video Semantic Metadata: Authorization, Integration, and Presentation.

    ERIC Educational Resources Information Center

    Mu, Xiangming; Marchionini, Gary

    2003-01-01

    Presents an enriched video metadata framework including video authorization using the Video Annotation and Summarization Tool (VAST)-a video metadata authorization system that integrates both semantic and visual metadata-- metadata integration, and user level applications. Results demonstrated that the enriched metadata were seamlessly…

  18. Data, Metadata - Who Cares?

    NASA Astrophysics Data System (ADS)

    Baumann, Peter

    2013-04-01

    There is a traditional saying that metadata are understandable, semantic-rich, and searchable. Data, on the other hand, are big, with no accessible semantics, and just downloadable. Not only has this led to an imbalance of search support form a user perspective, but also underneath to a deep technology divide often using relational databases for metadata and bespoke archive solutions for data. Our vision is that this barrier will be overcome, and data and metadata become searchable likewise, leveraging the potential of semantic technologies in combination with scalability technologies. Ultimately, in this vision ad-hoc processing and filtering will not distinguish any longer, forming a uniformly accessible data universe. In the European EarthServer initiative, we work towards this vision by federating database-style raster query languages with metadata search and geo broker technology. We present our approach taken, how it can leverage OGC standards, the benefits envisaged, and first results.

  19. Development of an open metadata schema for prospective clinical research (openPCR) in China.

    PubMed

    Xu, W; Guan, Z; Sun, J; Wang, Z; Geng, Y

    2014-01-01

    In China, deployment of electronic data capture (EDC) and clinical data management system (CDMS) for clinical research (CR) is in its very early stage, and about 90% of clinical studies collected and submitted clinical data manually. This work aims to build an open metadata schema for Prospective Clinical Research (openPCR) in China based on openEHR archetypes, in order to help Chinese researchers easily create specific data entry templates for registration, study design and clinical data collection. Singapore Framework for Dublin Core Application Profiles (DCAP) is used to develop openPCR and four steps such as defining the core functional requirements and deducing the core metadata items, developing archetype models, defining metadata terms and creating archetype records, and finally developing implementation syntax are followed. The core functional requirements are divided into three categories: requirements for research registration, requirements for trial design, and requirements for case report form (CRF). 74 metadata items are identified and their Chinese authority names are created. The minimum metadata set of openPCR includes 3 documents, 6 sections, 26 top level data groups, 32 lower data groups and 74 data elements. The top level container in openPCR is composed of public document, internal document and clinical document archetypes. A hierarchical structure of openPCR is established according to Data Structure of Electronic Health Record Architecture and Data Standard of China (Chinese EHR Standard). Metadata attributes are grouped into six parts: identification, definition, representation, relation, usage guides, and administration. OpenPCR is an open metadata schema based on research registration standards, standards of the Clinical Data Interchange Standards Consortium (CDISC) and Chinese healthcare related standards, and is to be publicly available throughout China. It considers future integration of EHR and CR by adopting data structure and data

  20. METADATA REGISTRY, ISO/IEC 11179

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Pon, R K; Buttler, D J

    2008-01-03

    ISO/IEC-11179 is an international standard that documents the standardization and registration of metadata to make data understandable and shareable. This standardization and registration allows for easier locating, retrieving, and transmitting data from disparate databases. The standard defines the how metadata are conceptually modeled and how they are shared among parties, but does not define how data is physically represented as bits and bytes. The standard consists of six parts. Part 1 provides a high-level overview of the standard and defines the basic element of a metadata registry - a data element. Part 2 defines the procedures for registering classification schemesmore » and classifying administered items in a metadata registry (MDR). Part 3 specifies the structure of an MDR. Part 4 specifies requirements and recommendations for constructing definitions for data and metadata. Part 5 defines how administered items are named and identified. Part 6 defines how administered items are registered and assigned an identifier.« less

  1. Do Community Recommendations Improve Metadata?

    NASA Astrophysics Data System (ADS)

    Gordon, S.; Habermann, T.; Jones, M. B.; Leinfelder, B.; Mecum, B.; Powers, L. A.; Slaughter, P.

    2016-12-01

    Complete documentation of scientific data is the surest way to facilitate discovery and reuse. What is complete metadata? There are many metadata recommendations from communities like the OGC, FGDC, NASA, and LTER, that can provide data documentation guidance for discovery, access, use and understanding. Often, the recommendations that communities develop are for a particular metadata dialect. Two examples of this are the LTER Completeness recommendation for EML and the FGDC Data Discovery recommendation for CSDGM. Can community adoption of a recommendation ensure that what is included in the metadata is understandable to the scientific community and beyond? By applying quantitative analysis to different LTER and USGS metadata collections in DataOne and ScienceBase, we show that community recommendations can improve the completeness of collections over time. Additionally, by comparing communities in DataOne that use the EML and CSDGM dialects, but have not adopted the recommendations to the communities that have, the positive effects of recommendation adoption on documentation completeness can be measured.

  2. Serving Fisheries and Ocean Metadata to Communities Around the World

    NASA Technical Reports Server (NTRS)

    Meaux, Melanie

    2006-01-01

    NASA's Global Change Master Directory (GCMD) assists the oceanographic community in the discovery, access, and sharing of scientific data by serving on-line fisheries and ocean metadata to users around the globe. As of January 2006, the directory holds more than 16,300 Earth Science data descriptions and over 1,300 services descriptions. Of these, nearly 4,000 unique ocean-related metadata records are available to the public, with many having direct links to the data. In 2005, the GCMD averaged over 5 million hits a month, with nearly a half million unique hosts for the year. Through the GCMD portal (http://qcrnd.nasa.qov/), users can search vast and growing quantities of data and services using controlled keywords, free-text searches or a combination of both. Users may now refine a search based on topic, location, instrument, platform, project, data center, spatial and temporal coverage. The directory also offers data holders a means to post and search their data through customized portals, i.e. online customized subset metadata directories. The discovery metadata standard used is the Directory Interchange Format (DIF), adopted in 1994. This format has evolved to accommodate other national and international standards such as FGDC and IS019115. Users can submit metadata through easy-to-use online and offline authoring tools. The directory, which also serves as a coordinating node of the International Directory Network (IDN), has been active at the international, regional and national level for many years through its involvement with the Committee on Earth Observation Satellites (CEOS), federal agencies (such as NASA, NOAA, and USGS), international agencies (such as IOC/IODE, UN, and JAXA) and partnerships (such as ESIP, IOOS/DMAC, GOSIC, GLOBEC, OBIS, and GoMODP), sharing experience, knowledge related to metadata and/or data management and interoperability.

  3. Managing Complex Change in Clinical Study Metadata

    PubMed Central

    Brandt, Cynthia A.; Gadagkar, Rohit; Rodriguez, Cesar; Nadkarni, Prakash M.

    2004-01-01

    In highly functional metadata-driven software, the interrelationships within the metadata become complex, and maintenance becomes challenging. We describe an approach to metadata management that uses a knowledge-base subschema to store centralized information about metadata dependencies and use cases involving specific types of metadata modification. Our system borrows ideas from production-rule systems in that some of this information is a high-level specification that is interpreted and executed dynamically by a middleware engine. Our approach is implemented in TrialDB, a generic clinical study data management system. We review approaches that have been used for metadata management in other contexts and describe the features, capabilities, and limitations of our system. PMID:15187070

  4. Large-Scale Data Collection Metadata Management at the National Computation Infrastructure

    NASA Astrophysics Data System (ADS)

    Wang, J.; Evans, B. J. K.; Bastrakova, I.; Ryder, G.; Martin, J.; Duursma, D.; Gohar, K.; Mackey, T.; Paget, M.; Siddeswara, G.

    2014-12-01

    Data Collection management has become an essential activity at the National Computation Infrastructure (NCI) in Australia. NCI's partners (CSIRO, Bureau of Meteorology, Australian National University, and Geoscience Australia), supported by the Australian Government and Research Data Storage Infrastructure (RDSI), have established a national data resource that is co-located with high-performance computing. This paper addresses the metadata management of these data assets over their lifetime. NCI manages 36 data collections (10+ PB) categorised as earth system sciences, climate and weather model data assets and products, earth and marine observations and products, geosciences, terrestrial ecosystem, water management and hydrology, astronomy, social science and biosciences. The data is largely sourced from NCI partners, the custodians of many of the national scientific records, and major research community organisations. The data is made available in a HPC and data-intensive environment - a ~56000 core supercomputer, virtual labs on a 3000 core cloud system, and data services. By assembling these large national assets, new opportunities have arisen to harmonise the data collections, making a powerful cross-disciplinary resource.To support the overall management, a Data Management Plan (DMP) has been developed to record the workflows, procedures, the key contacts and responsibilities. The DMP has fields that can be exported to the ISO19115 schema and to the collection level catalogue of GeoNetwork. The subset or file level metadata catalogues are linked with the collection level through parent-child relationship definition using UUID. A number of tools have been developed that support interactive metadata management, bulk loading of data, and support for computational workflows or data pipelines. NCI creates persistent identifiers for each of the assets. The data collection is tracked over its lifetime, and the recognition of the data providers, data owners, data

  5. GEOMetaCuration: a web-based application for accurate manual curation of Gene Expression Omnibus metadata

    PubMed Central

    Li, Zhao; Li, Jin; Yu, Peng

    2018-01-01

    Abstract Metadata curation has become increasingly important for biological discovery and biomedical research because a large amount of heterogeneous biological data is currently freely available. To facilitate efficient metadata curation, we developed an easy-to-use web-based curation application, GEOMetaCuration, for curating the metadata of Gene Expression Omnibus datasets. It can eliminate mechanical operations that consume precious curation time and can help coordinate curation efforts among multiple curators. It improves the curation process by introducing various features that are critical to metadata curation, such as a back-end curation management system and a curator-friendly front-end. The application is based on a commonly used web development framework of Python/Django and is open-sourced under the GNU General Public License V3. GEOMetaCuration is expected to benefit the biocuration community and to contribute to computational generation of biological insights using large-scale biological data. An example use case can be found at the demo website: http://geometacuration.yubiolab.org. Database URL: https://bitbucket.com/yubiolab/GEOMetaCuration PMID:29688376

  6. Is searching full text more effective than searching abstracts?

    PubMed Central

    Lin, Jimmy

    2009-01-01

    Background With the growing availability of full-text articles online, scientists and other consumers of the life sciences literature now have the ability to go beyond searching bibliographic records (title, abstract, metadata) to directly access full-text content. Motivated by this emerging trend, I posed the following question: is searching full text more effective than searching abstracts? This question is answered by comparing text retrieval algorithms on MEDLINE® abstracts, full-text articles, and spans (paragraphs) within full-text articles using data from the TREC 2007 genomics track evaluation. Two retrieval models are examined: bm25 and the ranking algorithm implemented in the open-source Lucene search engine. Results Experiments show that treating an entire article as an indexing unit does not consistently yield higher effectiveness compared to abstract-only search. However, retrieval based on spans, or paragraphs-sized segments of full-text articles, consistently outperforms abstract-only search. Results suggest that highest overall effectiveness may be achieved by combining evidence from spans and full articles. Conclusion Users searching full text are more likely to find relevant articles than searching only abstracts. This finding affirms the value of full text collections for text retrieval and provides a starting point for future work in exploring algorithms that take advantage of rapidly-growing digital archives. Experimental results also highlight the need to develop distributed text retrieval algorithms, since full-text articles are significantly longer than abstracts and may require the computational resources of multiple machines in a cluster. The MapReduce programming model provides a convenient framework for organizing such computations. PMID:19192280

  7. Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations.

    PubMed

    Martínez-Romero, Marcos; O'Connor, Martin J; Shankar, Ravi D; Panahiazar, Maryam; Willrett, Debra; Egyedi, Attila L; Gevaert, Olivier; Graybeal, John; Musen, Mark A

    2017-01-01

    In biomedicine, high-quality metadata are crucial for finding experimental datasets, for understanding how experiments were performed, and for reproducing those experiments. Despite the recent focus on metadata, the quality of metadata available in public repositories continues to be extremely poor. A key difficulty is that the typical metadata acquisition process is time-consuming and error prone, with weak or nonexistent support for linking metadata to ontologies. There is a pressing need for methods and tools to speed up the metadata acquisition process and to increase the quality of metadata that are entered. In this paper, we describe a methodology and set of associated tools that we developed to address this challenge. A core component of this approach is a value recommendation framework that uses analysis of previously entered metadata and ontology-based metadata specifications to help users rapidly and accurately enter their metadata. We performed an initial evaluation of this approach using metadata from a public metadata repository.

  8. Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations

    PubMed Central

    Martínez-Romero, Marcos; O’Connor, Martin J.; Shankar, Ravi D.; Panahiazar, Maryam; Willrett, Debra; Egyedi, Attila L.; Gevaert, Olivier; Graybeal, John; Musen, Mark A.

    2017-01-01

    In biomedicine, high-quality metadata are crucial for finding experimental datasets, for understanding how experiments were performed, and for reproducing those experiments. Despite the recent focus on metadata, the quality of metadata available in public repositories continues to be extremely poor. A key difficulty is that the typical metadata acquisition process is time-consuming and error prone, with weak or nonexistent support for linking metadata to ontologies. There is a pressing need for methods and tools to speed up the metadata acquisition process and to increase the quality of metadata that are entered. In this paper, we describe a methodology and set of associated tools that we developed to address this challenge. A core component of this approach is a value recommendation framework that uses analysis of previously entered metadata and ontology-based metadata specifications to help users rapidly and accurately enter their metadata. We performed an initial evaluation of this approach using metadata from a public metadata repository. PMID:29854196

  9. Increasing the international visibility of research data by a joint metadata schema

    NASA Astrophysics Data System (ADS)

    Svoboda, Nikolai; Zoarder, Muquit; Gärtner, Philipp; Hoffmann, Carsten; Heinrich, Uwe

    2017-04-01

    The BonaRes Project ("Soil as a sustainable resource for the bioeconomy") was launched in 2015 to promote sustainable soil management and to avoid fragmentation of efforts (Wollschläger et al., 2016). For this purpose, an IT infrastructure is being developed to upload, manage, store, and provide research data and its associated metadata. The research data provided by the BonaRes data centre are, in principle, not subject to any restrictions on reuse. For all research data considerable standardized metadata are the key enablers for the effective use of these data. Providing proper metadata is often viewed as an extra burden with further work and resources consumed. In our lecture we underline the benefits of structured and interoperable metadata like: accessibility of data, discovery of data, interpretation of data, linking data and several more and we counter these advantages with the effort of time, personnel and further costs. Building on this, we describe the framework of metadata in BonaRes combining the standards of OGC for description, visualization, exchange and discovery of geodata as well as the schema of DataCite for the publication and citation of this research data. This enables the generation of a DOI, a unique identifier that provides a permanent link to the citable research data. By using OGC standards, data and metadata become interoperable with numerous research data provided via INSPIRE. It enables further services like CSW for harvesting WMS for visualization and WFS for downloading. We explain the mandatory fields that result from our approach and we give a general overview about our metadata architecture implementation. Literature: Wollschläger, U; Helming, K.; Heinrich, U.; Bartke, S.; Kögel-Knabner, I.; Russell, D.; Eberhardt, E. & Vogel, H.-J.: The BonaRes Centre - A virtual institute for soil research in the context of a sustainable bio-economy. Geophysical Research Abstracts, Vol. 18, EGU2016-9087, 2016.

  10. Asymmetric abstraction and allocation: the Israeli-Palestinian water pumping record.

    PubMed

    Zeitoun, Mark; Messerschmid, Clemens; Attili, Shaddad

    2009-01-01

    The increased attention given to international transboundary aquifers may be nowhere more pressing than on the western bank of the Jordan River. Hydropolitical analysis of six decades of Israeli and Palestinian pumping records reveals how ground water abstraction rates are as asymmetrical as are water allocations. The particular hydrogeology of the region, notably the variability in depth to ground water, variations in ground water quality, and the vulnerability of the aquifer, also affect the outcome. The records confirm previously drawn conclusions of the influence of the agricultural lobby in maintaining a supply-side water management paradigm. Comparison of water consumption rates divulges that water consumed by all sectors of the farming-based Palestinian economy is less than half of Israeli domestic consumption. The overwhelming majority of "reserve" flows from wet years are sold at subsidized rates to the Israeli agricultural sector, while very minor amounts are sold at normal rates to the Palestinian side for drinking water. An apparent coevolution of water resource variability and politics serves to explain increased Israeli pumping prior to negotiations in the early 1990s. The abstraction record from the Western Aquifer Basin discloses that the effective limit set by the terms of the 1995 Oslo II Agreement is regularly violated by the Israeli side, thereby putting the aquifer at risk. The picture that emerges is one of a transboundary water regime that is much more exploitative than cooperative and that risks spoiling the resource as it poisons international relations.

  11. Metadata Effectiveness in Internet Discovery: An Analysis of Digital Collection Metadata Elements and Internet Search Engine Keywords

    ERIC Educational Resources Information Center

    Yang, Le

    2016-01-01

    This study analyzed digital item metadata and keywords from Internet search engines to learn what metadata elements actually facilitate discovery of digital collections through Internet keyword searching and how significantly each metadata element affects the discovery of items in a digital repository. The study found that keywords from Internet…

  12. Field methods in medical record abstraction: assessing the properties of comparative effectiveness estimates.

    PubMed

    Cook, Elizabeth A; Schneider, Kathleen M; Robinson, Jennifer; Wilwert, June; Chrischilles, Elizabeth; Pendergast, Jane; Brooks, John

    2014-09-15

    Comparative effectiveness studies using Medicare claims data are vulnerable to treatment selection biases and supplemental data from a sample of patients has been recommended for examining the magnitude of this bias. Previous research using nationwide Medicare claims data has typically relied on the Medicare Current Beneficiary Survey (MCBS) for supplemental data. Because many important clinical variables for our specific research question are not available in the MCBS, we collected medical record data from a subsample of patients to assess the validity of assumptions and to aid in the interpretation of our estimates. This paper seeks to describe and document the process used to collect and validate this supplemental information. Medicare claims data files for all patients with fee-for-service Medicare benefits who had an acute myocardial infarction (AMI) in 2007 or 2008 were obtained. Medical records were obtained and abstracted for a stratified subsample of 1,601 of these patients, using strata defined by claims-based measures of physician prescribing practices and drug treatment combinations. The abstraction tool was developed collaboratively by study clinicians and researchers, leveraging important elements from previously validated tools. Records for 2,707 AMI patients were requested from the admitting hospitals and 1,751 were received for an overall response rate of 65%; 1,601 cases were abstracted by trained personnel at a contracted firm. Data were collected with overall 96% inter-abstractor agreement across all variables. Some non-response bias was detected at the patient and facility level. Although Medicare claims data are a potentially powerful resource for conducting comparative effectiveness analyses, observational databases are vulnerable to treatment selection biases. This study demonstrates that it is feasible to abstract medical records for Medicare patients nationwide and collect high quality data, to design the sampling purposively to address

  13. Science friction: data, metadata, and collaboration.

    PubMed

    Edwards, Paul N; Mayernik, Matthew S; Batcheller, Archer L; Bowker, Geoffrey C; Borgman, Christine L

    2011-10-01

    When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata--usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets--serve key roles in interoperability. Yet we find that metadata may be a source of friction between scientific collaborators, impeding data sharing. We propose an alternative view of metadata, focusing on its role in an ephemeral process of scientific communication, rather than as an enduring outcome or product. We report examples of highly useful, yet ad hoc, incomplete, loosely structured, and mutable, descriptions of data found in our ethnographic studies of several large projects in the environmental sciences. Based on this evidence, we argue that while metadata products can be powerful resources, usually they must be supplemented with metadata processes. Metadata-as-process suggests the very large role of the ad hoc, the incomplete, and the unfinished in everyday scientific work.

  14. Experiences Using a Meta-Data Based Integration Infrastructure

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Critchlow, T.; Masick, R.; Slezak, T.

    1999-07-08

    A data warehouse that presents data from many of the genomics community data sources in a consistent, intuitive fashion has long been a goal of bioinformatics. Unfortunately, it is one of the goals that has not yet been achieved. One of the major problems encountered by previous attempts has been the high cost of creating and maintaining a warehouse in a dynamic environment. In this abstract we have outlined a meta-data based approach to integrating data sources that begins to address this problem. We have used this infrastructure to successfully integrate new sources into an existing warehouse in substantially lessmore » time than would have traditionally been required--and the resulting mediators are more maintainable than the traditionally defined ones would have been. In the final paper, we will describe in greater detail both our architecture and our experiences using this framework. In particular, we will outline the new, XML based representation of the meta-data, describe how the mediator generator works, and highlight other potential uses for the meta-data.« less

  15. Brady's Geothermal Field DAS and DTS Surface and Borehole Array Metadata

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Dante Fratta

    This metadata submission includes the coordinates of the DAS and DTS surface and borehole arrays, the list of file names, and the list of recorded files during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. Testing was completed during March 2016.

  16. CMO: Cruise Metadata Organizer for JAMSTEC Research Cruises

    NASA Astrophysics Data System (ADS)

    Fukuda, K.; Saito, H.; Hanafusa, Y.; Vanroosebeke, A.; Kitayama, T.

    2011-12-01

    JAMSTEC's Data Research Center for Marine-Earth Sciences manages and distributes a wide variety of observational data and samples obtained from JAMSTEC research vessels and deep sea submersibles. Generally, metadata are essential to identify data and samples were obtained. In JAMSTEC, cruise metadata include cruise information such as cruise ID, name of vessel, research theme, and diving information such as dive number, name of submersible and position of diving point. They are submitted by chief scientists of research cruises in the Microsoft Excel° spreadsheet format, and registered into a data management database to confirm receipt of observational data files, cruise summaries, and cruise reports. The cruise metadata are also published via "JAMSTEC Data Site for Research Cruises" within two months after end of cruise. Furthermore, these metadata are distributed with observational data, images and samples via several data and sample distribution websites after a publication moratorium period. However, there are two operational issues in the metadata publishing process. One is that duplication efforts and asynchronous metadata across multiple distribution websites due to manual metadata entry into individual websites by administrators. The other is that differential data types or representation of metadata in each website. To solve those problems, we have developed a cruise metadata organizer (CMO) which allows cruise metadata to be connected from the data management database to several distribution websites. CMO is comprised of three components: an Extensible Markup Language (XML) database, an Enterprise Application Integration (EAI) software, and a web-based interface. The XML database is used because of its flexibility for any change of metadata. Daily differential uptake of metadata from the data management database to the XML database is automatically processed via the EAI software. Some metadata are entered into the XML database using the web

  17. Metadata in the Wild: An Empirical Survey of OPeNDAP-accessible Metadata and its Implications for Discovery

    NASA Astrophysics Data System (ADS)

    Hardy, D.; Janée, G.; Gallagher, J.; Frew, J.; Cornillon, P.

    2006-12-01

    The OPeNDAP Data Access Protocol (DAP) is a community standard for sharing scientific data across the Internet. Data providers using DAP have adopted a variety of metadata conventions to improve data utility, such as COARDS (1995) and CF (2003). Our results show, however, that metadata do not follow these conventions in practice. We collected metadata from over a hundred DAP servers, tens of thousands of data objects, and hundreds of collections. We found that a minority claim to adhere to a metadata convention, and a small percentage accurately adhere to their stated convention. We present descriptive statistics of our survey and highlight common traits such as well-populated attributes. Our empirical results indicate that unified search services cannot rely solely on metadata conventions. Although we encourage all providers to adopt a small subset of the CF convention for discovery purposes, we have no evidence to suggest that improved conventions would simplify the fundamental problem of heterogeneity. Large-scale discovery services must find methods for integrating incompatible metadata.

  18. Metadata for WIS and WIGOS: GAW Profile of ISO19115 and Draft WIGOS Core Metadata Standard

    NASA Astrophysics Data System (ADS)

    Klausen, Jörg; Howe, Brian

    2014-05-01

    The World Meteorological Organization (WMO) Integrated Global Observing System (WIGOS) is a key WMO priority to underpin all WMO Programs and new initiatives such as the Global Framework for Climate Services (GFCS). The development of the WIGOS Operational Information Resource (WIR) is central to the WIGOS Framework Implementation Plan (WIGOS-IP). The WIR shall provide information on WIGOS and its observing components, as well as requirements of WMO application areas. An important aspect is the description of the observational capabilities by way of structured metadata. The Global Atmosphere Watch is the WMO program addressing the chemical composition and selected physical properties of the atmosphere. Observational data are collected and archived by GAW World Data Centres (WDCs) and related data centres. The Task Team on GAW WDCs (ET-WDC) have developed a profile of the ISO19115 metadata standard that is compliant with the WMO Information System (WIS) specification for the WMO Core Metadata Profile v1.3. This profile is intended to harmonize certain aspects of the documentation of observations as well as the interoperability of the WDCs. The Inter-Commission-Group on WIGOS (ICG-WIGOS) has established the Task Team on WIGOS Metadata (TT-WMD) with representation of all WMO Technical Commissions and the objective to define the WIGOS Core Metadata. The result of this effort is a draft semantic standard comprising of a set of metadata classes that are considered to be of critical importance for the interpretation of observations relevant to WIGOS. The purpose of the presentation is to acquaint the audience with the standard and to solicit informal feed-back from experts in the various disciplines of meteorology and climatology. This feed-back will help ET-WDC and TT-WMD to refine the GAW metadata profile and the draft WIGOS metadata standard, thereby increasing their utility and acceptance.

  19. GraphMeta: Managing HPC Rich Metadata in Graphs

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Dai, Dong; Chen, Yong; Carns, Philip

    High-performance computing (HPC) systems face increasingly critical metadata management challenges, especially in the approaching exascale era. These challenges arise not only from exploding metadata volumes, but also from increasingly diverse metadata, which contains data provenance and arbitrary user-defined attributes in addition to traditional POSIX metadata. This ‘rich’ metadata is becoming critical to supporting advanced data management functionality such as data auditing and validation. In our prior work, we identified a graph-based model as a promising solution to uniformly manage HPC rich metadata due to its flexibility and generality. However, at the same time, graph-based HPC rich metadata anagement also introducesmore » significant challenges to the underlying infrastructure. In this study, we first identify the challenges on the underlying infrastructure to support scalable, high-performance rich metadata management. Based on that, we introduce GraphMeta, a graphbased engine designed for this use case. It achieves performance scalability by introducing a new graph partitioning algorithm and a write-optimal storage engine. We evaluate GraphMeta under both synthetic and real HPC metadata workloads, compare it with other approaches, and demonstrate its advantages in terms of efficiency and usability for rich metadata management in HPC systems.« less

  20. Metadata Sets for e-Government Resources: The Extended e-Government Metadata Schema (eGMS+)

    NASA Astrophysics Data System (ADS)

    Charalabidis, Yannis; Lampathaki, Fenareti; Askounis, Dimitris

    In the dawn of the Semantic Web era, metadata appear as a key enabler that assists management of the e-Government resources related to the provision of personalized, efficient and proactive services oriented towards the real citizens’ needs. As different authorities typically use different terms to describe their resources and publish them in various e-Government Registries that may enhance the access to and delivery of governmental knowledge, but also need to communicate seamlessly at a national and pan-European level, the need for a unified e-Government metadata standard emerges. This paper presents the creation of an ontology-based extended metadata set for e-Government Resources that embraces services, documents, XML Schemas, code lists, public bodies and information systems. Such a metadata set formalizes the exchange of information between portals and registries and assists the service transformation and simplification efforts, while it can be further taken into consideration when applying Web 2.0 techniques in e-Government.

  1. Overcoming the Challenges of Unstructured Data in Multi-site, Electronic Medical Record-based Abstraction

    PubMed Central

    Polnaszek, Brock; Gilmore-Bykovskyi, Andrea; Hovanes, Melissa; Roiland, Rachel; Ferguson, Patrick; Brown, Roger; Kind, Amy JH

    2014-01-01

    Background Unstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as this data is often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists. Objective As standard abstraction approaches resulted in sub-standard data reliability for unstructured data elements collected as part of a multi-site, retrospective EMR study of hospital discharge communication quality, our goal was to develop, apply and examine the utility of a phase-based approach to reliably abstract unstructured data. This approach is examined using the specific example of discharge communication for warfarin management. Research Design We adopted a “fit-for-use” framework to guide the development and evaluation of abstraction methods using a four step, phase-based approach including (1) team building, (2) identification of challenges, (3) adaptation of abstraction methods, and (4) systematic data quality monitoring. Measures Unstructured data elements were the focus of this study, including elements communicating steps in warfarin management (e.g., warfarin initiation) and medical follow-up (e.g., timeframe for follow-up). Results After implementation of the phase-based approach, inter-rater reliability for all unstructured data elements demonstrated kappas of ≥ 0.89 -- an average increase of + 0.25 for each unstructured data element. Conclusions As compared to standard abstraction methodologies, this phase-based approach was more time intensive, but did markedly increase abstraction reliability for unstructured data elements within multi-site EMR documentation. PMID:27624585

  2. MPEG-7: standard metadata for multimedia content

    NASA Astrophysics Data System (ADS)

    Chang, Wo

    2005-08-01

    The eXtensible Markup Language (XML) metadata technology of describing media contents has emerged as a dominant mode of making media searchable both for human and machine consumptions. To realize this premise, many online Web applications are pushing this concept to its fullest potential. However, a good metadata model does require a robust standardization effort so that the metadata content and its structure can reach its maximum usage between various applications. An effective media content description technology should also use standard metadata structures especially when dealing with various multimedia contents. A new metadata technology called MPEG-7 content description has merged from the ISO MPEG standards body with the charter of defining standard metadata to describe audiovisual content. This paper will give an overview of MPEG-7 technology and what impact it can bring forth to the next generation of multimedia indexing and retrieval applications.

  3. Towards Data Value-Level Metadata for Clinical Studies.

    PubMed

    Zozus, Meredith Nahm; Bonner, Joseph

    2017-01-01

    While several standards for metadata describing clinical studies exist, comprehensive metadata to support traceability of data from clinical studies has not been articulated. We examine uses of metadata in clinical studies. We examine and enumerate seven sources of data value-level metadata in clinical studies inclusive of research designs across the spectrum of the National Institutes of Health definition of clinical research. The sources of metadata inform categorization in terms of metadata describing the origin of a data value, the definition of a data value, and operations to which the data value was subjected. The latter is further categorized into information about changes to a data value, movement of a data value, retrieval of a data value, and data quality checks, constraints or assessments to which the data value was subjected. The implications of tracking and managing data value-level metadata are explored.

  4. A metadata template for ocean acidification data

    NASA Astrophysics Data System (ADS)

    Jiang, L.

    2014-12-01

    Metadata is structured information that describes, explains, and locates an information resource (e.g., data). It is often coarsely described as data about data, and documents information such as what was measured, by whom, when, where, and how it was sampled, analyzed, with what instruments. Metadata is inherent to ensure the survivability and accessibility of the data into the future. With the rapid expansion of biological response ocean acidification (OA) studies, the lack of a common metadata template to document such type of data has become a significant gap for ocean acidification data management efforts. In this paper, we present a metadata template that can be applied to a broad spectrum of OA studies, including those studying the biological responses of organisms on ocean acidification. The "variable metadata section", which includes the variable name, observation type, whether the variable is a manipulation condition or response variable, and the biological subject on which the variable is studied, forms the core of this metadata template. Additional metadata elements, such as principal investigators, temporal and spatial coverage, platforms for the sampling, data citation are essential components to complete the template. We explain the structure of the template, and define many metadata elements that may be unfamiliar to researchers. For that reason, this paper can serve as a user's manual for the template.

  5. 36 CFR 1236.14 - What must agencies do to protect records against technological obsolescence?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ...) Maintaining a link between records and their metadata through conversion or migration, including capture of all relevant associated metadata at the point of migration (for both the records and the migration...

  6. 36 CFR 1236.14 - What must agencies do to protect records against technological obsolescence?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...) Maintaining a link between records and their metadata through conversion or migration, including capture of all relevant associated metadata at the point of migration (for both the records and the migration...

  7. 36 CFR 1236.14 - What must agencies do to protect records against technological obsolescence?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...) Maintaining a link between records and their metadata through conversion or migration, including capture of all relevant associated metadata at the point of migration (for both the records and the migration...

  8. 36 CFR 1236.14 - What must agencies do to protect records against technological obsolescence?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ...) Maintaining a link between records and their metadata through conversion or migration, including capture of all relevant associated metadata at the point of migration (for both the records and the migration...

  9. Inheritance rules for Hierarchical Metadata Based on ISO 19115

    NASA Astrophysics Data System (ADS)

    Zabala, A.; Masó, J.; Pons, X.

    2012-04-01

    Mainly, ISO19115 has been used to describe metadata for datasets and services. Furthermore, ISO19115 standard (as well as the new draft ISO19115-1) includes a conceptual model that allows to describe metadata at different levels of granularity structured in hierarchical levels, both in aggregated resources such as particularly series, datasets, and also in more disaggregated resources such as types of entities (feature type), types of attributes (attribute type), entities (feature instances) and attributes (attribute instances). In theory, to apply a complete metadata structure to all hierarchical levels of metadata, from the whole series to an individual feature attributes, is possible, but to store all metadata at all levels is completely impractical. An inheritance mechanism is needed to store each metadata and quality information at the optimum hierarchical level and to allow an ease and efficient documentation of metadata in both an Earth observation scenario such as a multi-satellite mission multiband imagery, as well as in a complex vector topographical map that includes several feature types separated in layers (e.g. administrative limits, contour lines, edification polygons, road lines, etc). Moreover, and due to the traditional split of maps in tiles due to map handling at detailed scales or due to the satellite characteristics, each of the previous thematic layers (e.g. 1:5000 roads for a country) or band (Landsat-5 TM cover of the Earth) are tiled on several parts (sheets or scenes respectively). According to hierarchy in ISO 19115, the definition of general metadata can be supplemented by spatially specific metadata that, when required, either inherits or overrides the general case (G.1.3). Annex H of this standard states that only metadata exceptions are defined at lower levels, so it is not necessary to generate the full registry of metadata for each level but to link particular values to the general value that they inherit. Conceptually the metadata

  10. Improving the accessibility and re-use of environmental models through provision of model metadata - a scoping study

    NASA Astrophysics Data System (ADS)

    Riddick, Andrew; Hughes, Andrew; Harpham, Quillon; Royse, Katherine; Singh, Anubha

    2014-05-01

    There has been an increasing interest both from academic and commercial organisations over recent years in developing hydrologic and other environmental models in response to some of the major challenges facing the environment, for example environmental change and its effects and ensuring water resource security. This has resulted in a significant investment in modelling by many organisations both in terms of financial resources and intellectual capital. To capitalise on the effort on producing models, then it is necessary for the models to be both discoverable and appropriately described. If this is not undertaken then the effort in producing the models will be wasted. However, whilst there are some recognised metadata standards relating to datasets these may not completely address the needs of modellers regarding input data for example. Also there appears to be a lack of metadata schemes configured to encourage the discovery and re-use of the models themselves. The lack of an established standard for model metadata is considered to be a factor inhibiting the more widespread use of environmental models particularly the use of linked model compositions which fuse together hydrologic models with models from other environmental disciplines. This poster presents the results of a Natural Environment Research Council (NERC) funded scoping study to understand the requirements of modellers and other end users for metadata about data and models. A user consultation exercise using an on-line questionnaire has been undertaken to capture the views of a wide spectrum of stakeholders on how they are currently managing metadata for modelling. This has provided a strong confirmation of our original supposition that there is a lack of systems and facilities to capture metadata about models. A number of specific gaps in current provision for data and model metadata were also identified, including a need for a standard means to record detailed information about the modelling

  11. Incorporating ISO Metadata Using HDF Product Designer

    NASA Technical Reports Server (NTRS)

    Jelenak, Aleksandar; Kozimor, John; Habermann, Ted

    2016-01-01

    The need to store in HDF5 files increasing amounts of metadata of various complexity is greatly overcoming the capabilities of the Earth science metadata conventions currently in use. Data producers until now did not have much choice but to come up with ad hoc solutions to this challenge. Such solutions, in turn, pose a wide range of issues for data managers, distributors, and, ultimately, data users. The HDF Group is experimenting on a novel approach of using ISO 19115 metadata objects as a catch-all container for all the metadata that cannot be fitted into the current Earth science data conventions. This presentation will showcase how the HDF Product Designer software can be utilized to help data producers include various ISO metadata objects in their products.

  12. Serving Fisheries and Ocean Metadata to Communities Around the World

    NASA Technical Reports Server (NTRS)

    Meaux, Melanie F.

    2007-01-01

    NASA's Global Change Master Directory (GCMD) assists the oceanographic community in the discovery, access, and sharing of scientific data by serving on-line fisheries and ocean metadata to users around the globe. As of January 2006, the directory holds more than 16,300 Earth Science data descriptions and over 1,300 services descriptions. Of these, nearly 4,000 unique ocean-related metadata records are available to the public, with many having direct links to the data. In 2005, the GCMD averaged over 5 million hits a month, with nearly a half million unique hosts for the year. Through the GCMD portal (http://gcmd.nasa.gov/), users can search vast and growing quantities of data and services using controlled keywords, free-text searches, or a combination of both. Users may now refine a search based on topic, location, instrument, platform, project, data center, spatial and temporal coverage, and data resolution for selected datasets. The directory also offers data holders a means to advertise and search their data through customized portals, which are subset views of the directory. The discovery metadata standard used is the Directory Interchange Format (DIF), adopted in 1988. This format has evolved to accommodate other national and international standards such as FGDC and IS019115. Users can submit metadata through easy-to-use online and offline authoring tools. The directory, which also serves as the International Directory Network (IDN), has been providing its services and sharing its experience and knowledge of metadata at the international, national, regional, and local level for many years. Active partners include the Committee on Earth Observation Satellites (CEOS), federal agencies (such as NASA, NOAA, and USGS), international agencies (such as IOC/IODE, UN, and JAXA) and organizations (such as ESIP, IOOS/DMAC, GOSIC, GLOBEC, OBIS, and GoMODP).

  13. A System for Automated Extraction of Metadata from Scanned Documents using Layout Recognition and String Pattern Search Models.

    PubMed

    Misra, Dharitri; Chen, Siyuan; Thoma, George R

    2009-01-01

    One of the most expensive aspects of archiving digital documents is the manual acquisition of context-sensitive metadata useful for the subsequent discovery of, and access to, the archived items. For certain types of textual documents, such as journal articles, pamphlets, official government records, etc., where the metadata is contained within the body of the documents, a cost effective method is to identify and extract the metadata in an automated way, applying machine learning and string pattern search techniques.At the U. S. National Library of Medicine (NLM) we have developed an automated metadata extraction (AME) system that employs layout classification and recognition models with a metadata pattern search model for a text corpus with structured or semi-structured information. A combination of Support Vector Machine and Hidden Markov Model is used to create the layout recognition models from a training set of the corpus, following which a rule-based metadata search model is used to extract the embedded metadata by analyzing the string patterns within and surrounding each field in the recognized layouts.In this paper, we describe the design of our AME system, with focus on the metadata search model. We present the extraction results for a historic collection from the Food and Drug Administration, and outline how the system may be adapted for similar collections. Finally, we discuss some ongoing enhancements to our AME system.

  14. A System for Automated Extraction of Metadata from Scanned Documents using Layout Recognition and String Pattern Search Models

    PubMed Central

    Misra, Dharitri; Chen, Siyuan; Thoma, George R.

    2010-01-01

    One of the most expensive aspects of archiving digital documents is the manual acquisition of context-sensitive metadata useful for the subsequent discovery of, and access to, the archived items. For certain types of textual documents, such as journal articles, pamphlets, official government records, etc., where the metadata is contained within the body of the documents, a cost effective method is to identify and extract the metadata in an automated way, applying machine learning and string pattern search techniques. At the U. S. National Library of Medicine (NLM) we have developed an automated metadata extraction (AME) system that employs layout classification and recognition models with a metadata pattern search model for a text corpus with structured or semi-structured information. A combination of Support Vector Machine and Hidden Markov Model is used to create the layout recognition models from a training set of the corpus, following which a rule-based metadata search model is used to extract the embedded metadata by analyzing the string patterns within and surrounding each field in the recognized layouts. In this paper, we describe the design of our AME system, with focus on the metadata search model. We present the extraction results for a historic collection from the Food and Drug Administration, and outline how the system may be adapted for similar collections. Finally, we discuss some ongoing enhancements to our AME system. PMID:21179386

  15. Evaluating the privacy properties of telephone metadata.

    PubMed

    Mayer, Jonathan; Mutchler, Patrick; Mitchell, John C

    2016-05-17

    Since 2013, a stream of disclosures has prompted reconsideration of surveillance law and policy. One of the most controversial principles, both in the United States and abroad, is that communications metadata receives substantially less protection than communications content. Several nations currently collect telephone metadata in bulk, including on their own citizens. In this paper, we attempt to shed light on the privacy properties of telephone metadata. Using a crowdsourcing methodology, we demonstrate that telephone metadata is densely interconnected, can trivially be reidentified, and can be used to draw sensitive inferences.

  16. Evaluating the privacy properties of telephone metadata

    PubMed Central

    Mayer, Jonathan; Mutchler, Patrick; Mitchell, John C.

    2016-01-01

    Since 2013, a stream of disclosures has prompted reconsideration of surveillance law and policy. One of the most controversial principles, both in the United States and abroad, is that communications metadata receives substantially less protection than communications content. Several nations currently collect telephone metadata in bulk, including on their own citizens. In this paper, we attempt to shed light on the privacy properties of telephone metadata. Using a crowdsourcing methodology, we demonstrate that telephone metadata is densely interconnected, can trivially be reidentified, and can be used to draw sensitive inferences. PMID:27185922

  17. Seeking the Path to Metadata Nirvana

    NASA Astrophysics Data System (ADS)

    Graybeal, J.

    2008-12-01

    Scientists have always found reusing other scientists' data challenging. Computers did not fundamentally change the problem, but enabled more and larger instances of it. In fact, by removing human mediation and time delays from the data sharing process, computers emphasize the contextual information that must be exchanged in order to exchange and reuse data. This requirement for contextual information has two faces: "interoperability" when talking about systems, and "the metadata problem" when talking about data. As much as any single organization, the Marine Metadata Interoperability (MMI) project has been tagged with the mission "Solve the metadata problem." Of course, if that goal is achieved, then sustained, interoperable data systems for interdisciplinary observing networks can be easily built -- pesky metadata differences, like which protocol to use for data exchange, or what the data actually measures, will be a thing of the past. Alas, as you might imagine, there will always be complexities and incompatibilities that are not addressed, and data systems that are not interoperable, even within a science discipline. So should we throw up our hands and surrender to the inevitable? Not at all. Rather, we try to minimize metadata problems as much as we can. In this we increasingly progress, despite natural forces that pull in the other direction. Computer systems let us work with more complexity, build community knowledge and collaborations, and preserve and publish our progress and (dis-)agreements. Funding organizations, science communities, and technologists see the importance interoperable systems and metadata, and direct resources toward them. With the new approaches and resources, projects like IPY and MMI can simultaneously define, display, and promote effective strategies for sustainable, interoperable data systems. This presentation will outline the role metadata plays in durable interoperable data systems, for better or worse. It will describe times

  18. 36 CFR § 1236.14 - What must agencies do to protect records against technological obsolescence?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ...) Maintaining a link between records and their metadata through conversion or migration, including capture of all relevant associated metadata at the point of migration (for both the records and the migration...

  19. Making Interoperability Easier with the NASA Metadata Management Tool

    NASA Astrophysics Data System (ADS)

    Shum, D.; Reese, M.; Pilone, D.; Mitchell, A. E.

    2016-12-01

    ISO 19115 has enabled interoperability amongst tools, yet many users find it hard to build ISO metadata for their collections because it can be large and overly flexible for their needs. The Metadata Management Tool (MMT), part of NASA's Earth Observing System Data and Information System (EOSDIS), offers users a modern, easy to use browser based tool to develop ISO compliant metadata. Through a simplified UI experience, metadata curators can create and edit collections without any understanding of the complex ISO-19115 format, while still generating compliant metadata. The MMT is also able to assess the completeness of collection level metadata by evaluating it against a variety of metadata standards. The tool provides users with clear guidance as to how to change their metadata in order to improve their quality and compliance. It is based on NASA's Unified Metadata Model for Collections (UMM-C) which is a simpler metadata model which can be cleanly mapped to ISO 19115. This allows metadata authors and curators to meet ISO compliance requirements faster and more accurately. The MMT and UMM-C have been developed in an agile fashion, with recurring end user tests and reviews to continually refine the tool, the model and the ISO mappings. This process is allowing for continual improvement and evolution to meet the community's needs.

  20. Mercury: An Example of Effective Software Reuse for Metadata Management, Data Discovery and Access

    NASA Astrophysics Data System (ADS)

    Devarakonda, Ranjeet; Palanisamy, Giri; Green, James; Wilson, Bruce E.

    2008-12-01

    Mercury is a federated metadata harvesting, data discovery and access tool based on both open source packages and custom developed software. Though originally developed for NASA, the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury supports the reuse of metadata by enabling searching across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury provides a single portal to information contained in distributed data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. One of the major goals of the recent redesign of Mercury was to improve the software reusability across the 12 projects which currently fund the continuing development of Mercury. These projects span a range of land, atmosphere, and ocean ecological communities and have a number of common needs for metadata searches, but they also have a number of needs specific to one or a few projects. To balance these common and project-specific needs, Mercury's architecture has three major reusable components; a harvester engine, an indexing system and a user interface component. The harvester engine is responsible for harvesting metadata records from various distributed servers around the USA and around the world. The harvester software was packaged in such a way that all the Mercury projects will use the same harvester scripts but each project will be driven by a set of project specific configuration files. The harvested files are structured metadata records that are indexed against the search library API consistently, so that it can render various search capabilities such as simple, fielded, spatial and temporal. This backend component is supported by a very flexible

  1. Mercury: An Example of Effective Software Reuse for Metadata Management, Data Discovery and Access

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Devarakonda, Ranjeet

    2008-01-01

    Mercury is a federated metadata harvesting, data discovery and access tool based on both open source packages and custom developed software. Though originally developed for NASA, the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury supports the reuse of metadata by enabling searching across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury provides a single portal to information contained in distributed data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfacesmore » then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. One of the major goals of the recent redesign of Mercury was to improve the software reusability across the 12 projects which currently fund the continuing development of Mercury. These projects span a range of land, atmosphere, and ocean ecological communities and have a number of common needs for metadata searches, but they also have a number of needs specific to one or a few projects. To balance these common and project-specific needs, Mercury's architecture has three major reusable components; a harvester engine, an indexing system and a user interface component. The harvester engine is responsible for harvesting metadata records from various distributed servers around the USA and around the world. The harvester software was packaged in such a way that all the Mercury projects will use the same harvester scripts but each project will be driven by a set of project specific configuration files. The harvested files are structured metadata records that are indexed against the search library API consistently, so that it can render various search capabilities such as simple, fielded, spatial and temporal. This backend component is supported by a very

  2. Metadata and Service at the GFZ ISDC Portal

    NASA Astrophysics Data System (ADS)

    Ritschel, B.

    2008-05-01

    The online service portal of the GFZ Potsdam Information System and Data Center (ISDC) is an access point for all manner of geoscientific geodata, its corresponding metadata, scientific documentation and software tools. At present almost 2000 national and international users and user groups have the opportunity to request Earth science data from a portfolio of 275 different products types and more than 20 Million single data files with an added volume of approximately 12 TByte. The majority of the data and information, the portal currently offers to the public, are global geomonitoring products such as satellite orbit and Earth gravity field data as well as geomagnetic and atmospheric data for the exploration. These products for Earths changing system are provided via state-of-the art retrieval techniques. The data product catalog system behind these techniques is based on the extensive usage of standardized metadata, which are describing the different geoscientific product types and data products in an uniform way. Where as all ISDC product types are specified by NASA's Directory Interchange Format (DIF), Version 9.0 Parent XML DIF metadata files, the individual data files are described by extended DIF metadata documents. Depending on the beginning of the scientific project, one part of data files are described by extended DIF, Version 6 metadata documents and the other part are specified by data Child XML DIF metadata documents. Both, the product type dependent parent DIF metadata documents and the data file dependent child DIF metadata documents are derived from a base-DIF.xsd xml schema file. The ISDC metadata philosophy defines a geoscientific product as a package consisting of mostly one or sometimes more than one data file plus one extended DIF metadata file. Because NASA's DIF metadata standard has been developed in order to specify a collection of data only, the extension of the DIF standard consists of new and specific attributes, which are necessary for

  3. 36 CFR 1235.48 - What documentation must agencies transfer with electronic records?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... digital geospatial data files can include metadata that conforms to the Federal Geographic Data Committee's Content Standards for Digital Geospatial Metadata, as specified in Executive Order 12906 of April... number (301) 837-2903 for digital photographs and metadata, or the National Archives and Records...

  4. 36 CFR 1235.48 - What documentation must agencies transfer with electronic records?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... digital geospatial data files can include metadata that conforms to the Federal Geographic Data Committee's Content Standards for Digital Geospatial Metadata, as specified in Executive Order 12906 of April... number (301) 837-2903 for digital photographs and metadata, or the National Archives and Records...

  5. 36 CFR 1235.48 - What documentation must agencies transfer with electronic records?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... digital geospatial data files can include metadata that conforms to the Federal Geographic Data Committee's Content Standards for Digital Geospatial Metadata, as specified in Executive Order 12906 of April... number (301) 837-2903 for digital photographs and metadata, or the National Archives and Records...

  6. 36 CFR 1235.48 - What documentation must agencies transfer with electronic records?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... digital geospatial data files can include metadata that conforms to the Federal Geographic Data Committee's Content Standards for Digital Geospatial Metadata, as specified in Executive Order 12906 of April... number (301) 837-2903 for digital photographs and metadata, or the National Archives and Records...

  7. The PDS4 Metadata Management System

    NASA Astrophysics Data System (ADS)

    Raugh, A. C.; Hughes, J. S.

    2018-04-01

    We present the key features of the Planetary Data System (PDS) PDS4 Information Model as an extendable metadata management system for planetary metadata related to data structure, analysis/interpretation, and provenance.

  8. Assessing Metadata Quality of a Federally Sponsored Health Data Repository.

    PubMed

    Marc, David T; Beattie, James; Herasevich, Vitaly; Gatewood, Laël; Zhang, Rui

    2016-01-01

    The U.S. Federal Government developed HealthData.gov to disseminate healthcare datasets to the public. Metadata is provided for each datasets and is the sole source of information to find and retrieve data. This study employed automated quality assessments of the HealthData.gov metadata published from 2012 to 2014 to measure completeness, accuracy, and consistency of applying standards. The results demonstrated that metadata published in earlier years had lower completeness, accuracy, and consistency. Also, metadata that underwent modifications following their original creation were of higher quality. HealthData.gov did not uniformly apply Dublin Core Metadata Initiative to the metadata, which is a widely accepted metadata standard. These findings suggested that the HealthData.gov metadata suffered from quality issues, particularly related to information that wasn't frequently updated. The results supported the need for policies to standardize metadata and contributed to the development of automated measures of metadata quality.

  9. Assessing Metadata Quality of a Federally Sponsored Health Data Repository

    PubMed Central

    Marc, David T.; Beattie, James; Herasevich, Vitaly; Gatewood, Laël; Zhang, Rui

    2016-01-01

    The U.S. Federal Government developed HealthData.gov to disseminate healthcare datasets to the public. Metadata is provided for each datasets and is the sole source of information to find and retrieve data. This study employed automated quality assessments of the HealthData.gov metadata published from 2012 to 2014 to measure completeness, accuracy, and consistency of applying standards. The results demonstrated that metadata published in earlier years had lower completeness, accuracy, and consistency. Also, metadata that underwent modifications following their original creation were of higher quality. HealthData.gov did not uniformly apply Dublin Core Metadata Initiative to the metadata, which is a widely accepted metadata standard. These findings suggested that the HealthData.gov metadata suffered from quality issues, particularly related to information that wasn’t frequently updated. The results supported the need for policies to standardize metadata and contributed to the development of automated measures of metadata quality. PMID:28269883

  10. Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications

    PubMed Central

    Özdemir, Vural; Martens, Lennart; Hancock, William; Anderson, Gordon; Anderson, Nathaniel; Aynacioglu, Sukru; Baranova, Ancha; Campagna, Shawn R.; Chen, Rui; Choiniere, John; Dearth, Stephen P.; Feng, Wu-Chun; Ferguson, Lynnette; Fox, Geoffrey; Frishman, Dmitrij; Grossman, Robert; Heath, Allison; Higdon, Roger; Hutz, Mara H.; Janko, Imre; Jiang, Lihua; Joshi, Sanjay; Kel, Alexander; Kemnitz, Joseph W.; Kohane, Isaac S.; Kolker, Natali; Lancet, Doron; Lee, Elaine; Li, Weizhong; Lisitsa, Andrey; Llerena, Adrian; MacNealy-Koch, Courtney; Marshall, Jean-Claude; Masuzzo, Paola; May, Amanda; Mias, George; Monroe, Matthew; Montague, Elizabeth; Mooney, Sean; Nesvizhskii, Alexey; Noronha, Santosh; Omenn, Gilbert; Rajasimha, Harsha; Ramamoorthy, Preveen; Sheehan, Jerry; Smarr, Larry; Smith, Charles V.; Smith, Todd; Snyder, Michael; Rapole, Srikanth; Srivastava, Sanjeeva; Stanberry, Larissa; Stewart, Elizabeth; Toppo, Stefano; Uetz, Peter; Verheggen, Kenneth; Voy, Brynn H.; Warnich, Louise; Wilhelm, Steven W.; Yandl, Gregory

    2014-01-01

    Abstract Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research. These essential steps require consistent generation, capture, and distribution of metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologies and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. The omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and, importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement. PMID:24456465

  11. Evolving Metadata in NASA Earth Science Data Systems

    NASA Astrophysics Data System (ADS)

    Mitchell, A.; Cechini, M. F.; Walter, J.

    2011-12-01

    NASA's Earth Observing System (EOS) is a coordinated series of satellites for long term global observations. NASA's Earth Observing System Data and Information System (EOSDIS) is a petabyte-scale archive of environmental data that supports global climate change research by providing end-to-end services from EOS instrument data collection to science data processing to full access to EOS and other earth science data. On a daily basis, the EOSDIS ingests, processes, archives and distributes over 3 terabytes of data from NASA's Earth Science missions representing over 3500 data products ranging from various types of science disciplines. EOSDIS is currently comprised of 12 discipline specific data centers that are collocated with centers of science discipline expertise. Metadata is used in all aspects of NASA's Earth Science data lifecycle from the initial measurement gathering to the accessing of data products. Missions use metadata in their science data products when describing information such as the instrument/sensor, operational plan, and geographically region. Acting as the curator of the data products, data centers employ metadata for preservation, access and manipulation of data. EOSDIS provides a centralized metadata repository called the Earth Observing System (EOS) ClearingHouse (ECHO) for data discovery and access via a service-oriented-architecture (SOA) between data centers and science data users. ECHO receives inventory metadata from data centers who generate metadata files that complies with the ECHO Metadata Model. NASA's Earth Science Data and Information System (ESDIS) Project established a Tiger Team to study and make recommendations regarding the adoption of the international metadata standard ISO 19115 in EOSDIS. The result was a technical report recommending an evolution of NASA data systems towards a consistent application of ISO 19115 and related standards including the creation of a NASA-specific convention for core ISO 19115 elements. Part of

  12. The XML Metadata Editor of GFZ Data Services

    NASA Astrophysics Data System (ADS)

    Ulbricht, Damian; Elger, Kirsten; Tesei, Telemaco; Trippanera, Daniele

    2017-04-01

    Following the FAIR data principles, research data should be Findable, Accessible, Interoperable and Reuseable. Publishing data under these principles requires to assign persistent identifiers to the data and to generate rich machine-actionable metadata. To increase the interoperability, metadata should include shared vocabularies and crosslink the newly published (meta)data and related material. However, structured metadata formats tend to be complex and are not intended to be generated by individual scientists. Software solutions are needed that support scientists in providing metadata describing their data. To facilitate data publication activities of 'GFZ Data Services', we programmed an XML metadata editor that assists scientists to create metadata in different schemata popular in the earth sciences (ISO19115, DIF, DataCite), while being at the same time usable by and understandable for scientists. Emphasis is placed on removing barriers, in particular the editor is publicly available on the internet without registration [1] and the scientists are not requested to provide information that may be generated automatically (e.g. the URL of a specific licence or the contact information of the metadata distributor). Metadata are stored in browser cookies and a copy can be saved to the local hard disk. To improve usability, form fields are translated into the scientific language, e.g. 'creators' of the DataCite schema are called 'authors'. To assist filling in the form, we make use of drop down menus for small vocabulary lists and offer a search facility for large thesauri. Explanations to form fields and definitions of vocabulary terms are provided in pop-up windows and a full documentation is available for download via the help menu. In addition, multiple geospatial references can be entered via an interactive mapping tool, which helps to minimize problems with different conventions to provide latitudes and longitudes. Currently, we are extending the metadata editor

  13. A Metadata Action Language

    NASA Technical Reports Server (NTRS)

    Golden, Keith; Clancy, Dan (Technical Monitor)

    2001-01-01

    The data management problem comprises data processing and data tracking. Data processing is the creation of new data based on existing data sources. Data tracking consists of storing metadata descriptions of available data. This paper addresses the data management problem by casting it as an AI planning problem. Actions are data-processing commands, plans are dataflow programs and goals are metadata descriptions of desired data products. Data manipulation is simply plan generation and execution, and a key component of data tracking is inferring the effects of an observed plan. We introduce a new action language for data management domains, called ADILM. We discuss the connection between data processing and information integration and show how a language for the latter must be modified to support the former. The paper also discusses information gathering within a data-processing framework, and show how ADILM metadata expressions are a generalization of Local Completeness.

  14. Assessing Public Metabolomics Metadata, Towards Improving Quality.

    PubMed

    Ferreira, João D; Inácio, Bruno; Salek, Reza M; Couto, Francisco M

    2017-12-13

    Public resources need to be appropriately annotated with metadata in order to make them discoverable, reproducible and traceable, further enabling them to be interoperable or integrated with other datasets. While data-sharing policies exist to promote the annotation process by data owners, these guidelines are still largely ignored. In this manuscript, we analyse automatic measures of metadata quality, and suggest their application as a mean to encourage data owners to increase the metadata quality of their resources and submissions, thereby contributing to higher quality data, improved data sharing, and the overall accountability of scientific publications. We analyse these metadata quality measures in the context of a real-world repository of metabolomics data (i.e. MetaboLights), including a manual validation of the measures, and an analysis of their evolution over time. Our findings suggest that the proposed measures can be used to mimic a manual assessment of metadata quality.

  15. An asynchronous traversal engine for graph-based rich metadata management

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Dai, Dong; Carns, Philip; Ross, Robert B.

    Rich metadata in high-performance computing (HPC) systems contains extended information about users, jobs, data files, and their relationships. Property graphs are a promising data model to represent heterogeneous rich metadata flexibly. Specifically, a property graph can use vertices to represent different entities and edges to record the relationships between vertices with unique annotations. The high-volume HPC use case, with millions of entities and relationships, naturally requires an out-of-core distributed property graph database, which must support live updates (to ingest production information in real time), low-latency point queries (for frequent metadata operations such as permission checking), and large-scale traversals (for provenancemore » data mining). Among these needs, large-scale property graph traversals are particularly challenging for distributed graph storage systems. Most existing graph systems implement a "level synchronous" breadth-first search algorithm that relies on global synchronization in each traversal step. This performs well in many problem domains; but a rich metadata management system is characterized by imbalanced graphs, long traversal lengths, and concurrent workloads, each of which has the potential to introduce or exacerbate stragglers (i.e., abnormally slow steps or servers in a graph traversal) that lead to low overall throughput for synchronous traversal algorithms. Previous research indicated that the straggler problem can be mitigated by using asynchronous traversal algorithms, and many graph-processing frameworks have successfully demonstrated this approach. Such systems require the graph to be loaded into a separate batch-processing framework instead of being iteratively accessed, however. In this work, we investigate a general asynchronous graph traversal engine that can operate atop a rich metadata graph in its native format. We outline a traversal-aware query language and key optimizations (traversal

  16. An asynchronous traversal engine for graph-based rich metadata management

    DOE PAGES

    Dai, Dong; Carns, Philip; Ross, Robert B.; ...

    2016-06-23

    Rich metadata in high-performance computing (HPC) systems contains extended information about users, jobs, data files, and their relationships. Property graphs are a promising data model to represent heterogeneous rich metadata flexibly. Specifically, a property graph can use vertices to represent different entities and edges to record the relationships between vertices with unique annotations. The high-volume HPC use case, with millions of entities and relationships, naturally requires an out-of-core distributed property graph database, which must support live updates (to ingest production information in real time), low-latency point queries (for frequent metadata operations such as permission checking), and large-scale traversals (for provenancemore » data mining). Among these needs, large-scale property graph traversals are particularly challenging for distributed graph storage systems. Most existing graph systems implement a "level synchronous" breadth-first search algorithm that relies on global synchronization in each traversal step. This performs well in many problem domains; but a rich metadata management system is characterized by imbalanced graphs, long traversal lengths, and concurrent workloads, each of which has the potential to introduce or exacerbate stragglers (i.e., abnormally slow steps or servers in a graph traversal) that lead to low overall throughput for synchronous traversal algorithms. Previous research indicated that the straggler problem can be mitigated by using asynchronous traversal algorithms, and many graph-processing frameworks have successfully demonstrated this approach. Such systems require the graph to be loaded into a separate batch-processing framework instead of being iteratively accessed, however. In this work, we investigate a general asynchronous graph traversal engine that can operate atop a rich metadata graph in its native format. We outline a traversal-aware query language and key optimizations (traversal

  17. 36 CFR § 1235.48 - What documentation must agencies transfer with electronic records?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... digital geospatial data files can include metadata that conforms to the Federal Geographic Data Committee's Content Standards for Digital Geospatial Metadata, as specified in Executive Order 12906 of April... number (301) 837-2903 for digital photographs and metadata, or the National Archives and Records...

  18. Scalable metadata environments (MDE): artistically impelled immersive environments for large-scale data exploration

    NASA Astrophysics Data System (ADS)

    West, Ruth G.; Margolis, Todd; Prudhomme, Andrew; Schulze, Jürgen P.; Mostafavi, Iman; Lewis, J. P.; Gossmann, Joachim; Singh, Rajvikram

    2014-02-01

    Scalable Metadata Environments (MDEs) are an artistic approach for designing immersive environments for large scale data exploration in which users interact with data by forming multiscale patterns that they alternatively disrupt and reform. Developed and prototyped as part of an art-science research collaboration, we define an MDE as a 4D virtual environment structured by quantitative and qualitative metadata describing multidimensional data collections. Entire data sets (e.g.10s of millions of records) can be visualized and sonified at multiple scales and at different levels of detail so they can be explored interactively in real-time within MDEs. They are designed to reflect similarities and differences in the underlying data or metadata such that patterns can be visually/aurally sorted in an exploratory fashion by an observer who is not familiar with the details of the mapping from data to visual, auditory or dynamic attributes. While many approaches for visual and auditory data mining exist, MDEs are distinct in that they utilize qualitative and quantitative data and metadata to construct multiple interrelated conceptual coordinate systems. These "regions" function as conceptual lattices for scalable auditory and visual representations within virtual environments computationally driven by multi-GPU CUDA-enabled fluid dyamics systems.

  19. Developing Cyberinfrastructure Tools and Services for Metadata Quality Evaluation

    NASA Astrophysics Data System (ADS)

    Mecum, B.; Gordon, S.; Habermann, T.; Jones, M. B.; Leinfelder, B.; Powers, L. A.; Slaughter, P.

    2016-12-01

    Metadata and data quality are at the core of reusable and reproducible science. While great progress has been made over the years, much of the metadata collected only addresses data discovery, covering concepts such as titles and keywords. Improving metadata beyond the discoverability plateau means documenting detailed concepts within the data such as sampling protocols, instrumentation used, and variables measured. Given that metadata commonly do not describe their data at this level, how might we improve the state of things? Giving scientists and data managers easy to use tools to evaluate metadata quality that utilize community-driven recommendations is the key to producing high-quality metadata. To achieve this goal, we created a set of cyberinfrastructure tools and services that integrate with existing metadata and data curation workflows which can be used to improve metadata and data quality across the sciences. These tools work across metadata dialects (e.g., ISO19115, FGDC, EML, etc.) and can be used to assess aspects of quality beyond what is internal to the metadata such as the congruence between the metadata and the data it describes. The system makes use of a user-friendly mechanism for expressing a suite of checks as code in popular data science programming languages such as Python and R. This reduces the burden on scientists and data managers to learn yet another language. We demonstrated these services and tools in three ways. First, we evaluated a large corpus of datasets in the DataONE federation of data repositories against a metadata recommendation modeled after existing recommendations such as the LTER best practices and the Attribute Convention for Dataset Discovery (ACDD). Second, we showed how this service can be used to display metadata and data quality information to data producers during the data submission and metadata creation process, and to data consumers through data catalog search and access tools. Third, we showed how the centrally

  20. Collection Metadata Solutions for Digital Library Applications

    NASA Technical Reports Server (NTRS)

    Hill, Linda L.; Janee, Greg; Dolin, Ron; Frew, James; Larsgaard, Mary

    1999-01-01

    Within a digital library, collections may range from an ad hoc set of objects that serve a temporary purpose to established library collections intended to persist through time. The objects in these collections vary widely, from library and data center holdings to pointers to real-world objects, such as geographic places, and the various metadata schemas that describe them. The key to integrated use of such a variety of collections in a digital library is collection metadata that represents the inherent and contextual characteristics of a collection. The Alexandria Digital Library (ADL) Project has designed and implemented collection metadata for several purposes: in XML form, the collection metadata "registers" the collection with the user interface client; in HTML form, it is used for user documentation; eventually, it will be used to describe the collection to network search agents; and it is used for internal collection management, including mapping the object metadata attributes to the common search parameters of the system.

  1. The notes from nature tool for unlocking biodiversity records from museum records through citizen science

    PubMed Central

    Hill, Andrew; Guralnick, Robert; Smith, Arfon; Sallans, Andrew; Rosemary Gillespie; Denslow, Michael; Gross, Joyce; Murrell, Zack; Tim Conyers; Oboyski, Peter; Ball, Joan; Thomer, Andrea; Prys-Jones, Robert; de Torre, Javier; Kociolek, Patrick; Fortson, Lucy

    2012-01-01

    Abstract Legacy data from natural history collections contain invaluable and irreplaceable information about biodiversity in the recent past, providing a baseline for detecting change and forecasting the future of biodiversity on a human-dominated planet. However, these data are often not available in formats that facilitate use and synthesis. New approaches are needed to enhance the rates of digitization and data quality improvement. Notes from Nature provides one such novel approach by asking citizen scientists to help with transcription tasks. The initial web-based prototype of Notes from Nature is soon widely available and was developed collaboratively by biodiversity scientists, natural history collections staff, and experts in citizen science project development, programming and visualization. This project brings together digital images representing different types of biodiversity records including ledgers , herbarium sheets and pinned insects from multiple projects and natural history collections. Experts in developing web-based citizen science applications then designed and built a platform for transcribing textual data and metadata from these images. The end product is a fully open source web transcription tool built using the latest web technologies. The platform keeps volunteers engaged by initially explaining the scientific importance of the work via a short orientation, and then providing transcription “missions” of well defined scope, along with dynamic feedback, interactivity and rewards. Transcribed records, along with record-level and process metadata, are provided back to the institutions.  While the tool is being developed with new users in mind, it can serve a broad range of needs from novice to trained museum specialist. Notes from Nature has the potential to speed the rate of biodiversity data being made available to a broad community of users. PMID:22859890

  2. Achieving interoperability for metadata registries using comparative object modeling.

    PubMed

    Park, Yu Rang; Kim, Ju Han

    2010-01-01

    Achieving data interoperability between organizations relies upon agreed meaning and representation (metadata) of data. For managing and registering metadata, many organizations have built metadata registries (MDRs) in various domains based on international standard for MDR framework, ISO/IEC 11179. Following this trend, two pubic MDRs in biomedical domain have been created, United States Health Information Knowledgebase (USHIK) and cancer Data Standards Registry and Repository (caDSR), from U.S. Department of Health & Human Services and National Cancer Institute (NCI), respectively. Most MDRs are implemented with indiscriminate extending for satisfying organization-specific needs and solving semantic and structural limitation of ISO/IEC 11179. As a result it is difficult to address interoperability among multiple MDRs. In this paper, we propose an integrated metadata object model for achieving interoperability among multiple MDRs. To evaluate this model, we developed an XML Schema Definition (XSD)-based metadata exchange format. We created an XSD-based metadata exporter, supporting both the integrated metadata object model and organization-specific MDR formats.

  3. Brady's Geothermal Field Nodal Seismometers Metadata

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Lesley Parker

    Metadata for the nodal seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing. Metadata includes location and timing for each instrument as well as file lists of data to be uploaded in a separate submission.

  4. Metadata to Support Data Warehouse Evolution

    NASA Astrophysics Data System (ADS)

    Solodovnikova, Darja

    The focus of this chapter is metadata necessary to support data warehouse evolution. We present the data warehouse framework that is able to track evolution process and adapt data warehouse schemata and data extraction, transformation, and loading (ETL) processes. We discuss the significant part of the framework, the metadata repository that stores information about the data warehouse, logical and physical schemata and their versions. We propose the physical implementation of multiversion data warehouse in a relational DBMS. For each modification of a data warehouse schema, we outline the changes that need to be made to the repository metadata and in the database.

  5. The Global Streamflow Indices and Metadata Archive (GSIM) - Part 1: The production of a daily streamflow archive and metadata

    NASA Astrophysics Data System (ADS)

    Do, Hong Xuan; Gudmundsson, Lukas; Leonard, Michael; Westra, Seth

    2018-04-01

    This is the first part of a two-paper series presenting the Global Streamflow Indices and Metadata archive (GSIM), a worldwide collection of metadata and indices derived from more than 35 000 daily streamflow time series. This paper focuses on the compilation of the daily streamflow time series based on 12 free-to-access streamflow databases (seven national databases and five international collections). It also describes the development of three metadata products (freely available at https://doi.pangaea.de/10.1594/PANGAEA.887477): (1) a GSIM catalogue collating basic metadata associated with each time series, (2) catchment boundaries for the contributing area of each gauge, and (3) catchment metadata extracted from 12 gridded global data products representing essential properties such as land cover type, soil type, and climate and topographic characteristics. The quality of the delineated catchment boundary is also made available and should be consulted in GSIM application. The second paper in the series then explores production and analysis of streamflow indices. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.

  6. Metadata, Identifiers, and Physical Samples

    NASA Astrophysics Data System (ADS)

    Arctur, D. K.; Lenhardt, W. C.; Hills, D. J.; Jenkyns, R.; Stroker, K. J.; Todd, N. S.; Dassie, E. P.; Bowring, J. F.

    2016-12-01

    Physical samples are integral to much of the research conducted by geoscientists. The samples used in this research are often obtained at significant cost and represent an important investment for future research. However, making information about samples - whether considered data or metadata - available for researchers to enable discovery is difficult: a number of key elements related to samples are difficult to characterize in common ways, such as classification, location, sample type, sampling method, repository information, subsample distribution, and instrumentation, because these differ from one domain to the next. Unifying these elements or developing metadata crosswalks is needed. The iSamples (Internet of Samples) NSF-funded Research Coordination Network (RCN) is investigating ways to develop these types of interoperability and crosswalks. Within the iSamples RCN, one of its working groups, WG1, has focused on the metadata related to physical samples. This includes identifying existing metadata standards and systems, and how they might interoperate with the International Geo Sample Number (IGSN) schema (schema.igsn.org) in order to help inform leading practices for metadata. For example, we are examining lifecycle metadata beyond the IGSN `birth certificate.' As a first step, this working group is developing a list of relevant standards and comparing their various attributes. In addition, the working group is looking toward technical solutions to facilitate developing a linked set of registries to build the web of samples. Finally, the group is also developing a comparison of sample identifiers and locators. This paper will provide an overview and comparison of the standards identified thus far, as well as an update on the technical solutions examined for integration. We will discuss how various sample identifiers might work in complementary fashion with the IGSN to more completely describe samples, facilitate retrieval of contextual information, and

  7. Prediction of Solar Eruptions Using Filament Metadata

    NASA Astrophysics Data System (ADS)

    Aggarwal, Ashna; Schanche, Nicole; Reeves, Katharine K.; Kempton, Dustin; Angryk, Rafal

    2018-05-01

    We perform a statistical analysis of erupting and non-erupting solar filaments to determine the properties related to the eruption potential. In order to perform this study, we correlate filament eruptions documented in the Heliophysics Event Knowledgebase (HEK) with HEK filaments that have been grouped together using a spatiotemporal tracking algorithm. The HEK provides metadata about each filament instance, including values for length, area, tilt, and chirality. We add additional metadata properties such as the distance from the nearest active region and the magnetic field decay index. We compare trends in the metadata from erupting and non-erupting filament tracks to discover which properties present signs of an eruption. We find that a change in filament length over time is the most important factor in discriminating between erupting and non-erupting filament tracks, with erupting tracks being more likely to have decreasing length. We attempt to find an ensemble of predictive filament metadata using a Random Forest Classifier approach, but find the probability of correctly predicting an eruption with the current metadata is only slightly better than chance.

  8. eXtended MetaData Registry

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    2006-10-25

    The purpose of the eXtended MetaData Registry (XMDR) prototype is to demonstrate the feasibility and utility of constructing an extended metadata registry, i.e., one which encompasses richer classification support, facilities for including terminologies, and better support for formal specification of semantics. The prototype registry will also serve as a reference implementation for the revised versions of ISO 11179, Parts 2 and 3 to help guide production implementations.

  9. Making metadata usable in a multi-national research setting.

    PubMed

    Ellul, Claire; Foord, Joanna; Mooney, John

    2013-11-01

    SECOA (Solutions for Environmental Contrasts in Coastal Areas) is a multi-national research project examining the effects of human mobility on urban settlements in fragile coastal environments. This paper describes the setting up of a SECOA metadata repository for non-specialist researchers such as environmental scientists and tourism experts. Conflicting usability requirements of two groups - metadata creators and metadata users - are identified along with associated limitations of current metadata standards. A description is given of a configurable metadata system designed to grow as the project evolves. This work is of relevance for similar projects such as INSPIRE. Copyright © 2012 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  10. Progress in defining a standard for file-level metadata

    NASA Technical Reports Server (NTRS)

    Williams, Joel; Kobler, Ben

    1996-01-01

    In the following narrative, metadata required to locate a file on tape or collection of tapes will be referred to as file-level metadata. This paper discribes the rationale for and the history of the effort to define a standard for this metadata.

  11. The role of metadata in managing large environmental science datasets. Proceedings

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Melton, R.B.; DeVaney, D.M.; French, J. C.

    1995-06-01

    The purpose of this workshop was to bring together computer science researchers and environmental sciences data management practitioners to consider the role of metadata in managing large environmental sciences datasets. The objectives included: establishing a common definition of metadata; identifying categories of metadata; defining problems in managing metadata; and defining problems related to linking metadata with primary data.

  12. The ATLAS Eventlndex: data flow and inclusion of other metadata

    NASA Astrophysics Data System (ADS)

    Barberis, D.; Cárdenas Zárate, S. E.; Favareto, A.; Fernandez Casani, A.; Gallas, E. J.; Garcia Montoro, C.; Gonzalez de la Hoz, S.; Hrivnac, J.; Malon, D.; Prokoshin, F.; Salt, J.; Sanchez, J.; Toebbicke, R.; Yuan, R.; ATLAS Collaboration

    2016-10-01

    The ATLAS EventIndex is the catalogue of the event-related metadata for the information collected from the ATLAS detector. The basic unit of this information is the event record, containing the event identification parameters, pointers to the files containing this event as well as trigger decision information. The main use case for the EventIndex is event picking, as well as data consistency checks for large production campaigns. The EventIndex employs the Hadoop platform for data storage and handling, as well as a messaging system for the collection of information. The information for the EventIndex is collected both at Tier-0, when the data are first produced, and from the Grid, when various types of derived data are produced. The EventIndex uses various types of auxiliary information from other ATLAS sources for data collection and processing: trigger tables from the condition metadata database (COMA), dataset information from the data catalogue AMI and the Rucio data management system and information on production jobs from the ATLAS production system. The ATLAS production system is also used for the collection of event information from the Grid jobs. EventIndex developments started in 2012 and in the middle of 2015 the system was commissioned and started collecting event metadata, as a part of ATLAS Distributed Computing operations.

  13. Revision of IRIS/IDA Seismic Station Metadata

    NASA Astrophysics Data System (ADS)

    Xu, W.; Davis, P.; Auerbach, D.; Klimczak, E.

    2017-12-01

    Trustworthy data quality assurance has always been one of the goals of seismic network operators and data management centers. This task is considerably complex and evolving due to the huge quantities as well as the rapidly changing characteristics and complexities of seismic data. Published metadata usually reflect instrument response characteristics and their accuracies, which includes zero frequency sensitivity for both seismometer and data logger as well as other, frequency-dependent elements. In this work, we are mainly focused studying the variation of the seismometer sensitivity with time of IRIS/IDA seismic recording systems with a goal to improve the metadata accuracy for the history of the network. There are several ways to measure the accuracy of seismometer sensitivity for the seismic stations in service. An effective practice recently developed is to collocate a reference seismometer in proximity to verify the in-situ sensors' calibration. For those stations with a secondary broadband seismometer, IRIS' MUSTANG metric computation system introduced a transfer function metric to reflect two sensors' gain ratios in the microseism frequency band. In addition, a simulation approach based on M2 tidal measurements has been proposed and proven to be effective. In this work, we compare and analyze the results from three different methods, and concluded that the collocated-sensor method is most stable and reliable with the minimum uncertainties all the time. However, for epochs without both the collocated sensor and secondary seismometer, we rely on the analysis results from tide method. For the data since 1992 on IDA stations, we computed over 600 revised seismometer sensitivities for all the IRIS/IDA network calibration epochs. Hopefully further revision procedures will help to guarantee that the data is accurately reflected by the metadata of these stations.

  14. Efficient processing of MPEG-21 metadata in the binary domain

    NASA Astrophysics Data System (ADS)

    Timmerer, Christian; Frank, Thomas; Hellwagner, Hermann; Heuer, Jörg; Hutter, Andreas

    2005-10-01

    XML-based metadata is widely adopted across the different communities and plenty of commercial and open source tools for processing and transforming are available on the market. However, all of these tools have one thing in common: they operate on plain text encoded metadata which may become a burden in constrained and streaming environments, i.e., when metadata needs to be processed together with multimedia content on the fly. In this paper we present an efficient approach for transforming such kind of metadata which are encoded using MPEG's Binary Format for Metadata (BiM) without additional en-/decoding overheads, i.e., within the binary domain. Therefore, we have developed an event-based push parser for BiM encoded metadata which transforms the metadata by a limited set of processing instructions - based on traditional XML transformation techniques - operating on bit patterns instead of cost-intensive string comparisons.

  15. Content Metadata Standards for Marine Science: A Case Study

    USGS Publications Warehouse

    Riall, Rebecca L.; Marincioni, Fausto; Lightsom, Frances L.

    2004-01-01

    The U.S. Geological Survey developed a content metadata standard to meet the demands of organizing electronic resources in the marine sciences for a broad, heterogeneous audience. These metadata standards are used by the Marine Realms Information Bank project, a Web-based public distributed library of marine science from academic institutions and government agencies. The development and deployment of this metadata standard serve as a model, complete with lessons about mistakes, for the creation of similarly specialized metadata standards for digital libraries.

  16. Unified Science Information Model for SoilSCAPE using the Mercury Metadata Search System

    NASA Astrophysics Data System (ADS)

    Devarakonda, Ranjeet; Lu, Kefa; Palanisamy, Giri; Cook, Robert; Santhana Vannan, Suresh; Moghaddam, Mahta Clewley, Dan; Silva, Agnelo; Akbar, Ruzbeh

    2013-12-01

    SoilSCAPE (Soil moisture Sensing Controller And oPtimal Estimator) introduces a new concept for a smart wireless sensor web technology for optimal measurements of surface-to-depth profiles of soil moisture using in-situ sensors. The objective is to enable a guided and adaptive sampling strategy for the in-situ sensor network to meet the measurement validation objectives of spaceborne soil moisture sensors such as the Soil Moisture Active Passive (SMAP) mission. This work is being carried out at the University of Michigan, the Massachusetts Institute of Technology, University of Southern California, and Oak Ridge National Laboratory. At Oak Ridge National Laboratory we are using Mercury metadata search system [1] for building a Unified Information System for the SoilSCAPE project. This unified portal primarily comprises three key pieces: Distributed Search/Discovery; Data Collections and Integration; and Data Dissemination. Mercury, a Federally funded software for metadata harvesting, indexing, and searching would be used for this module. Soil moisture data sources identified as part of this activity such as SoilSCAPE and FLUXNET (in-situ sensors), AirMOSS (airborne retrieval), SMAP (spaceborne retrieval), and are being indexed and maintained by Mercury. Mercury would be the central repository of data sources for cal/val for soil moisture studies and would provide a mechanism to identify additional data sources. Relevant metadata from existing inventories such as ORNL DAAC, USGS Clearinghouse, ARM, NASA ECHO, GCMD etc. would be brought in to this soil-moisture data search/discovery module. The SoilSCAPE [2] metadata records will also be published in broader metadata repositories such as GCMD, data.gov. Mercury can be configured to provide a single portal to soil moisture information contained in disparate data management systems located anywhere on the Internet. Mercury is able to extract, metadata systematically from HTML pages or XML files using a variety of

  17. Improving Scientific Metadata Interoperability And Data Discoverability using OAI-PMH

    NASA Astrophysics Data System (ADS)

    Devarakonda, Ranjeet; Palanisamy, Giri; Green, James M.; Wilson, Bruce E.

    2010-12-01

    While general-purpose search engines (such as Google or Bing) are useful for finding many things on the Internet, they are often of limited usefulness for locating Earth Science data relevant (for example) to a specific spatiotemporal extent. By contrast, tools that search repositories of structured metadata can locate relevant datasets with fairly high precision, but the search is limited to that particular repository. Federated searches (such as Z39.50) have been used, but can be slow and the comprehensiveness can be limited by downtime in any search partner. An alternative approach to improve comprehensiveness is for a repository to harvest metadata from other repositories, possibly with limits based on subject matter or access permissions. Searches through harvested metadata can be extremely responsive, and the search tool can be customized with semantic augmentation appropriate to the community of practice being served. However, there are a number of different protocols for harvesting metadata, with some challenges for ensuring that updates are propagated and for collaborations with repositories using differing metadata standards. The Open Archive Initiative Protocol for Metadata Handling (OAI-PMH) is a standard that is seeing increased use as a means for exchanging structured metadata. OAI-PMH implementations must support Dublin Core as a metadata standard, with other metadata formats as optional. We have developed tools which enable our structured search tool (Mercury; http://mercury.ornl.gov) to consume metadata from OAI-PMH services in any of the metadata formats we support (Dublin Core, Darwin Core, FCDC CSDGM, GCMD DIF, EML, and ISO 19115/19137). We are also making ORNL DAAC metadata available through OAI-PMH for other metadata tools to utilize, such as the NASA Global Change Master Directory, GCMD). This paper describes Mercury capabilities with multiple metadata formats, in general, and, more specifically, the results of our OAI-PMH implementations and

  18. Standards-based metadata procedures for retrieving data for display or mining utilizing persistent (data-DOI) identifiers.

    PubMed

    Harvey, Matthew J; Mason, Nicholas J; McLean, Andrew; Rzepa, Henry S

    2015-01-01

    We describe three different procedures based on metadata standards for enabling automated retrieval of scientific data from digital repositories utilising the persistent identifier of the dataset with optional specification of the attributes of the data document such as filename or media type. The procedures are demonstrated using the JSmol molecular visualizer as a component of a web page and Avogadro as a stand-alone modelling program. We compare our methods for automated retrieval of data from a standards-compliant data repository with those currently in operation for a selection of existing molecular databases and repositories. Our methods illustrate the importance of adopting a standards-based approach of using metadata declarations to increase access to and discoverability of repository-based data. Graphical abstract.

  19. openPDS: protecting the privacy of metadata through SafeAnswers.

    PubMed

    de Montjoye, Yves-Alexandre; Shmueli, Erez; Wang, Samuel S; Pentland, Alex Sandy

    2014-01-01

    The rise of smartphones and web services made possible the large-scale collection of personal metadata. Information about individuals' location, phone call logs, or web-searches, is collected and used intensively by organizations and big data researchers. Metadata has however yet to realize its full potential. Privacy and legal concerns, as well as the lack of technical solutions for personal metadata management is preventing metadata from being shared and reconciled under the control of the individual. This lack of access and control is furthermore fueling growing concerns, as it prevents individuals from understanding and managing the risks associated with the collection and use of their data. Our contribution is two-fold: (1) we describe openPDS, a personal metadata management framework that allows individuals to collect, store, and give fine-grained access to their metadata to third parties. It has been implemented in two field studies; (2) we introduce and analyze SafeAnswers, a new and practical way of protecting the privacy of metadata at an individual level. SafeAnswers turns a hard anonymization problem into a more tractable security one. It allows services to ask questions whose answers are calculated against the metadata instead of trying to anonymize individuals' metadata. The dimensionality of the data shared with the services is reduced from high-dimensional metadata to low-dimensional answers that are less likely to be re-identifiable and to contain sensitive information. These answers can then be directly shared individually or in aggregate. openPDS and SafeAnswers provide a new way of dynamically protecting personal metadata, thereby supporting the creation of smart data-driven services and data science research.

  20. openPDS: Protecting the Privacy of Metadata through SafeAnswers

    PubMed Central

    de Montjoye, Yves-Alexandre; Shmueli, Erez; Wang, Samuel S.; Pentland, Alex Sandy

    2014-01-01

    The rise of smartphones and web services made possible the large-scale collection of personal metadata. Information about individuals' location, phone call logs, or web-searches, is collected and used intensively by organizations and big data researchers. Metadata has however yet to realize its full potential. Privacy and legal concerns, as well as the lack of technical solutions for personal metadata management is preventing metadata from being shared and reconciled under the control of the individual. This lack of access and control is furthermore fueling growing concerns, as it prevents individuals from understanding and managing the risks associated with the collection and use of their data. Our contribution is two-fold: (1) we describe openPDS, a personal metadata management framework that allows individuals to collect, store, and give fine-grained access to their metadata to third parties. It has been implemented in two field studies; (2) we introduce and analyze SafeAnswers, a new and practical way of protecting the privacy of metadata at an individual level. SafeAnswers turns a hard anonymization problem into a more tractable security one. It allows services to ask questions whose answers are calculated against the metadata instead of trying to anonymize individuals' metadata. The dimensionality of the data shared with the services is reduced from high-dimensional metadata to low-dimensional answers that are less likely to be re-identifiable and to contain sensitive information. These answers can then be directly shared individually or in aggregate. openPDS and SafeAnswers provide a new way of dynamically protecting personal metadata, thereby supporting the creation of smart data-driven services and data science research. PMID:25007320

  1. Design and Implementation of a Metadata-rich File System

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ames, S; Gokhale, M B; Maltzahn, C

    2010-01-19

    Despite continual improvements in the performance and reliability of large scale file systems, the management of user-defined file system metadata has changed little in the past decade. The mismatch between the size and complexity of large scale data stores and their ability to organize and query their metadata has led to a de facto standard in which raw data is stored in traditional file systems, while related, application-specific metadata is stored in relational databases. This separation of data and semantic metadata requires considerable effort to maintain consistency and can result in complex, slow, and inflexible system operation. To address thesemore » problems, we have developed the Quasar File System (QFS), a metadata-rich file system in which files, user-defined attributes, and file relationships are all first class objects. In contrast to hierarchical file systems and relational databases, QFS defines a graph data model composed of files and their relationships. QFS incorporates Quasar, an XPATH-extended query language for searching the file system. Results from our QFS prototype show the effectiveness of this approach. Compared to the de facto standard, the QFS prototype shows superior ingest performance and comparable query performance on user metadata-intensive operations and superior performance on normal file metadata operations.« less

  2. Enhancing SCORM Metadata for Assessment Authoring in E-Learning

    ERIC Educational Resources Information Center

    Chang, Wen-Chih; Hsu, Hui-Huang; Smith, Timothy K.; Wang, Chun-Chia

    2004-01-01

    With the rapid development of distance learning and the XML technology, metadata play an important role in e-Learning. Nowadays, many distance learning standards, such as SCORM, AICC CMI, IEEE LTSC LOM and IMS, use metadata to tag learning materials. However, most metadata models are used to define learning materials and test problems. Few…

  3. Scientific Workflows + Provenance = Better (Meta-)Data Management

    NASA Astrophysics Data System (ADS)

    Ludaescher, B.; Cuevas-Vicenttín, V.; Missier, P.; Dey, S.; Kianmajd, P.; Wei, Y.; Koop, D.; Chirigati, F.; Altintas, I.; Belhajjame, K.; Bowers, S.

    2013-12-01

    The origin and processing history of an artifact is known as its provenance. Data provenance is an important form of metadata that explains how a particular data product came about, e.g., how and when it was derived in a computational process, which parameter settings and input data were used, etc. Provenance information provides transparency and helps to explain and interpret data products. Other common uses and applications of provenance include quality control, data curation, result debugging, and more generally, 'reproducible science'. Scientific workflow systems (e.g. Kepler, Taverna, VisTrails, and others) provide controlled environments for developing computational pipelines with built-in provenance support. Workflow results can then be explained in terms of workflow steps, parameter settings, input data, etc. using provenance that is automatically captured by the system. Scientific workflows themselves provide a user-friendly abstraction of the computational process and are thus a form of ('prospective') provenance in their own right. The full potential of provenance information is realized when combining workflow-level information (prospective provenance) with trace-level information (retrospective provenance). To this end, the DataONE Provenance Working Group (ProvWG) has developed an extension of the W3C PROV standard, called D-PROV. Whereas PROV provides a 'least common denominator' for exchanging and integrating provenance information, D-PROV adds new 'observables' that described workflow-level information (e.g., the functional steps in a pipeline), as well as workflow-specific trace-level information ( timestamps for each workflow step executed, the inputs and outputs used, etc.) Using examples, we will demonstrate how the combination of prospective and retrospective provenance provides added value in managing scientific data. The DataONE ProvWG is also developing tools based on D-PROV that allow scientists to get more mileage from provenance metadata

  4. A metadata-driven approach to data repository design.

    PubMed

    Harvey, Matthew J; McLean, Andrew; Rzepa, Henry S

    2017-01-01

    The design and use of a metadata-driven data repository for research data management is described. Metadata is collected automatically during the submission process whenever possible and is registered with DataCite in accordance with their current metadata schema, in exchange for a persistent digital object identifier. Two examples of data preview are illustrated, including the demonstration of a method for integration with commercial software that confers rich domain-specific data analytics without introducing customisation into the repository itself.

  5. Mapping and converting essential Federal Geographic Data Committee (FGDC) metadata into MARC21 and Dublin Core: towards an alternative to the FGDC Clearinghouse

    USGS Publications Warehouse

    Chandler, A.; Foley, D.; Hafez, A.M.

    2000-01-01

    The purpose of this article is to raise and address a number of issues related to the conversion of Federal Geographic Data Committee metadata into MARC21 and Dublin Core. We present an analysis of 466 FGDC metadata records housed in the National Biological Information Infrastructure (NBII) node of the FGDC Clearinghouse, with special emphasis on the length of fields and the total length of records in this set. One of our contributions is a 34 element crosswalk, a proposal that takes into consideration the constraints of the MARC21 standard as implemented in OCLC's World Cat and the realities of user behavior.

  6. Metadata Authoring with Versatility and Extensibility

    NASA Technical Reports Server (NTRS)

    Pollack, Janine; Olsen, Lola

    2004-01-01

    NASA's Global Change Master Directory (GCMD) assists the scientific community in the discovery of and linkage to Earth science data sets and related services. The GCMD holds over 13,800 data set descriptions in Directory Interchange Format (DIF) and 700 data service descriptions in Service Entry Resource Format (SERF), encompassing the disciplines of geology, hydrology, oceanography, meteorology, and ecology. Data descriptions also contain geographic coverage information and direct links to the data, thus allowing researchers to discover data pertaining to a geographic location of interest, then quickly acquire those data. The GCMD strives to be the preferred data locator for world-wide directory-level metadata. In this vein, scientists and data providers must have access to intuitive and efficient metadata authoring tools. Existing GCMD tools are attracting widespread usage; however, a need for tools that are portable, customizable and versatile still exists. With tool usage directly influencing metadata population, it has become apparent that new tools are needed to fill these voids. As a result, the GCMD has released a new authoring tool allowing for both web-based and stand-alone authoring of descriptions. Furthermore, this tool incorporates the ability to plug-and-play the metadata format of choice, offering users options of DIF, SERF, FGDC, ISO or any other defined standard. Allowing data holders to work with their preferred format, as well as an option of a stand-alone application or web-based environment, docBUlLDER will assist the scientific community in efficiently creating quality data and services metadata.

  7. Automatic meta-data collection of STP observation data

    NASA Astrophysics Data System (ADS)

    Ishikura, S.; Kimura, E.; Murata, K.; Kubo, T.; Shinohara, I.

    2006-12-01

    DIME-Attachment. By introducing the DLAgent-WS, we overcame the problem that the data management policies of each data site are independent. Another important issue to be overcome is how to collect the meta-data of observation data files. So far, STARS-DB managers have added new records to the meta-database and updated them manually. We have had a lot of troubles to maintain the meta-database because observation data are generated every day and the quantity of data files increases explosively. For that purpose, we have attempted to automate collection of the meta-data. In this research, we adopted the RSS 1.0 (RDF Site Summary) as a format to exchange meta-data in the STP fields. The RSS is an RDF vocabulary that provides a multipurpose extensible meta-data description and is suitable for syndication of meta-data. Most of the data in the present study are described in the CDF (Common Data Format), which is a self- describing data format. We have converted meta-information extracted from the CDF data files into RSS files. The program to generate the RSS files is executed on data site server once a day and the RSS files provide information of new data files. The RSS files are collected by RSS collection server once a day and the meta- data are stored in the STARS-DB.

  8. Interpreting the ASTM 'content standard for digital geospatial metadata'

    USGS Publications Warehouse

    Nebert, Douglas D.

    1996-01-01

    ASTM and the Federal Geographic Data Committee have developed a content standard for spatial metadata to facilitate documentation, discovery, and retrieval of digital spatial data using vendor-independent terminology. Spatial metadata elements are identifiable quality and content characteristics of a data set that can be tied to a geographic location or area. Several Office of Management and Budget Circulars and initiatives have been issued that specify improved cataloguing of and accessibility to federal data holdings. An Executive Order further requires the use of the metadata content standard to document digital spatial data sets. Collection and reporting of spatial metadata for field investigations performed for the federal government is an anticipated requirement. This paper provides an overview of the draft spatial metadata content standard and a description of how the standard could be applied to investigations collecting spatially-referenced field data.

  9. Omics Metadata Management Software (OMMS).

    PubMed

    Perez-Arriaga, Martha O; Wilson, Susan; Williams, Kelly P; Schoeniger, Joseph; Waymire, Russel L; Powell, Amy Jo

    2015-01-01

    Next-generation sequencing projects have underappreciated information management tasks requiring detailed attention to specimen curation, nucleic acid sample preparation and sequence production methods required for downstream data processing, comparison, interpretation, sharing and reuse. The few existing metadata management tools for genome-based studies provide weak curatorial frameworks for experimentalists to store and manage idiosyncratic, project-specific information, typically offering no automation supporting unified naming and numbering conventions for sequencing production environments that routinely deal with hundreds, if not thousands of samples at a time. Moreover, existing tools are not readily interfaced with bioinformatics executables, (e.g., BLAST, Bowtie2, custom pipelines). Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and perform analyses and information management tasks via an intuitive web-based interface. Several use cases with short-read sequence datasets are provided to validate installation and integrated function, and suggest possible methodological road maps for prospective users. Provided examples highlight possible OMMS workflows for metadata curation, multistep analyses, and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for webbased deployment supporting geographically-dispersed projects. The OMMS was developed using an open-source software base, is flexible, extensible and easily installed and executed. The OMMS can be obtained at http://omms.sandia.gov. The OMMS can be obtained at http://omms.sandia.gov.

  10. Omics Metadata Management Software (OMMS)

    PubMed Central

    Perez-Arriaga, Martha O; Wilson, Susan; Williams, Kelly P; Schoeniger, Joseph; Waymire, Russel L; Powell, Amy Jo

    2015-01-01

    Next-generation sequencing projects have underappreciated information management tasks requiring detailed attention to specimen curation, nucleic acid sample preparation and sequence production methods required for downstream data processing, comparison, interpretation, sharing and reuse. The few existing metadata management tools for genome-based studies provide weak curatorial frameworks for experimentalists to store and manage idiosyncratic, project-specific information, typically offering no automation supporting unified naming and numbering conventions for sequencing production environments that routinely deal with hundreds, if not thousands of samples at a time. Moreover, existing tools are not readily interfaced with bioinformatics executables, (e.g., BLAST, Bowtie2, custom pipelines). Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and perform analyses and information management tasks via an intuitive web-based interface. Several use cases with short-read sequence datasets are provided to validate installation and integrated function, and suggest possible methodological road maps for prospective users. Provided examples highlight possible OMMS workflows for metadata curation, multistep analyses, and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for webbased deployment supporting geographically-dispersed projects. The OMMS was developed using an open-source software base, is flexible, extensible and easily installed and executed. The OMMS can be obtained at http://omms.sandia.gov. Availability The OMMS can be obtained at http://omms.sandia.gov PMID:26124554

  11. Leveraging Metadata to Create Better Web Services

    ERIC Educational Resources Information Center

    Mitchell, Erik

    2012-01-01

    Libraries have been increasingly concerned with data creation, management, and publication. This increase is partly driven by shifting metadata standards in libraries and partly by the growth of data and metadata repositories being managed by libraries. In order to manage these data sets, libraries are looking for new preservation and discovery…

  12. Digital Initiatives and Metadata Use in Thailand

    ERIC Educational Resources Information Center

    SuKantarat, Wichada

    2008-01-01

    Purpose: This paper aims to provide information about various digital initiatives in libraries in Thailand and especially use of Dublin Core metadata in cataloguing digitized objects in academic and government digital databases. Design/methodology/approach: The author began researching metadata use in Thailand in 2003 and 2004 while on sabbatical…

  13. Automated Test Methods for XML Metadata

    DTIC Science & Technology

    2017-12-28

    Group under RCC Task TG-147. This document (Volume VI of the RCC Document 118 series) describes procedures used for evaluating XML metadata documents...including TMATS, MDL, IHAL, and DDML documents. These documents contain specifications or descriptions of artifacts and systems of importance to...the collection and management of telemetry data. The methods defined in this report provide a means of evaluating the suitability of such a metadata

  14. A Window to the World: Lessons Learned from NASA's Collaborative Metadata Curation Effort

    NASA Astrophysics Data System (ADS)

    Bugbee, K.; Dixon, V.; Baynes, K.; Shum, D.; le Roux, J.; Ramachandran, R.

    2017-12-01

    Well written descriptive metadata adds value to data by making data easier to discover as well as increases the use of data by providing the context or appropriateness of use. While many data centers acknowledge the importance of correct, consistent and complete metadata, allocating resources to curate existing metadata is often difficult. To lower resource costs, many data centers seek guidance on best practices for curating metadata but struggle to identify those recommendations. In order to assist data centers in curating metadata and to also develop best practices for creating and maintaining metadata, NASA has formed a collaborative effort to improve the Earth Observing System Data and Information System (EOSDIS) metadata in the Common Metadata Repository (CMR). This effort has taken significant steps in building consensus around metadata curation best practices. However, this effort has also revealed gaps in EOSDIS enterprise policies and procedures within the core metadata curation task. This presentation will explore the mechanisms used for building consensus on metadata curation, the gaps identified in policies and procedures, the lessons learned from collaborating with both the data centers and metadata curation teams, and the proposed next steps for the future.

  15. Syntactic and Semantic Validation without a Metadata Management System

    NASA Technical Reports Server (NTRS)

    Pollack, Janine; Gokey, Christopher D.; Kendig, David; Olsen, Lola; Wharton, Stephen W. (Technical Monitor)

    2001-01-01

    The ability to maintain quality information is essential to securing the confidence in any system for which the information serves as a data source. NASA's Global Change Master Directory (GCMD), an online Earth science data locator, holds over 9000 data set descriptions and is in a constant state of flux as metadata are created and updated on a daily basis. In such a system, the importance of maintaining the consistency and integrity of these-metadata is crucial. The GCMD has developed a metadata management system utilizing XML, controlled vocabulary, and Java technologies to ensure the metadata not only adhere to valid syntax, but also exhibit proper semantics.

  16. International Metadata Initiatives: Lessons in Bibliographic Control.

    ERIC Educational Resources Information Center

    Caplan, Priscilla

    This paper looks at a subset of metadata schemes, including the Text Encoding Initiative (TEI) header, the Encoded Archival Description (EAD), the Dublin Core Metadata Element Set (DCMES), and the Visual Resources Association (VRA) Core Categories for visual resources. It examines why they developed as they did, major point of difference from…

  17. New Tools to Document and Manage Data/Metadata: Example NGEE Arctic and UrbIS

    NASA Astrophysics Data System (ADS)

    Crow, M. C.; Devarakonda, R.; Hook, L.; Killeffer, T.; Krassovski, M.; Boden, T.; King, A. W.; Wullschleger, S. D.

    2016-12-01

    Tools used for documenting, archiving, cataloging, and searching data are critical pieces of informatics. This discussion describes tools being used in two different projects at Oak Ridge National Laboratory (ORNL), but at different stages of the data lifecycle. The Metadata Entry and Data Search Tool is being used for the documentation, archival, and data discovery stages for the Next Generation Ecosystem Experiment - Arctic (NGEE Arctic) project while the Urban Information Systems (UrbIS) Data Catalog is being used to support indexing, cataloging, and searching. The NGEE Arctic Online Metadata Entry Tool [1] provides a method by which researchers can upload their data and provide original metadata with each upload. The tool is built upon a Java SPRING framework to parse user input into, and from, XML output. Many aspects of the tool require use of a relational database including encrypted user-login, auto-fill functionality for predefined sites and plots, and file reference storage and sorting. The UrbIS Data Catalog is a data discovery tool supported by the Mercury cataloging framework [2] which aims to compile urban environmental data from around the world into one location, and be searchable via a user-friendly interface. Each data record conveniently displays its title, source, and date range, and features: (1) a button for a quick view of the metadata, (2) a direct link to the data and, for some data sets, (3) a button for visualizing the data. The search box incorporates autocomplete capabilities for search terms and sorted keyword filters are available on the side of the page, including a map for searching by area. References: [1] Devarakonda, Ranjeet, et al. "Use of a metadata documentation and search tool for large data volumes: The NGEE arctic example." Big Data (Big Data), 2015 IEEE International Conference on. IEEE, 2015. [2] Devarakonda, R., Palanisamy, G., Wilson, B. E., & Green, J. M. (2010). Mercury: reusable metadata management, data discovery

  18. Sea Level Station Metadata for Tsunami Detection, Warning and Research

    NASA Astrophysics Data System (ADS)

    Stroker, K. J.; Marra, J.; Kari, U. S.; Weinstein, S. A.; Kong, L.

    2007-12-01

    -priority metadata requirements identified at a water level workshop held at the XXIV IUGG Meeting in Perugia will be addressed: consistent, validated, and well defined numbers (e.g. amplitude); exact location of sea level stations; a complete record of sea level data stored in the archive; identifying high-priority sea level stations; and consistent definitions. NOAA's National Geophysical Data Center (NGDC) and co-located World Data Center for Solid Earth Geophysics (including tsunamis) would hold the archive of the sea level station data and distribute the standard metadata. Currently, NGDC is also archiving and distributing the DART buoy deep-ocean water level data and metadata in standards based formats. Kari, Uday S., John J. Marra, Stuart A. Weinstein, 2006 A Tsunami Focused Data Sharing Framework For Integration of Databases that Describe Water Level Station Specifications. AGU Fall Meeting, 2006. San Francisco, California. Marra, John, J., Uday S. Kari, and Stuart A. Weinstein (in press). A Tsunami Detection and Warning-focused Sea Level Station Metadata Web Service. IUGG XXIV, July 2-13, 2007. Perugia, Italy.

  19. Metadata management and semantics in microarray repositories.

    PubMed

    Kocabaş, F; Can, T; Baykal, N

    2011-12-01

    The number of microarray and other high-throughput experiments on primary repositories keeps increasing as do the size and complexity of the results in response to biomedical investigations. Initiatives have been started on standardization of content, object model, exchange format and ontology. However, there are backlogs and inability to exchange data between microarray repositories, which indicate that there is a great need for a standard format and data management. We have introduced a metadata framework that includes a metadata card and semantic nets that make experimental results visible, understandable and usable. These are encoded in syntax encoding schemes and represented in RDF (Resource Description Frame-word), can be integrated with other metadata cards and semantic nets, and can be exchanged, shared and queried. We demonstrated the performance and potential benefits through a case study on a selected microarray repository. We concluded that the backlogs can be reduced and that exchange of information and asking of knowledge discovery questions can become possible with the use of this metadata framework.

  20. Metadata Design in the New PDS4 Standards - Something for Everybody

    NASA Astrophysics Data System (ADS)

    Raugh, Anne C.; Hughes, John S.

    2015-11-01

    The Planetary Data System (PDS) archives, supports, and distributes data of diverse targets, from diverse sources, to diverse users. One of the core problems addressed by the PDS4 data standard redesign was that of metadata - how to accommodate the increasingly sophisticated demands of search interfaces, analytical software, and observational documentation into label standards without imposing limits and constraints that would impinge on the quality or quantity of metadata that any particular observer or team could supply. And yet, as an archive, PDS must have detailed documentation for the metadata in the labels it supports, or the institutional knowledge encoded into those attributes will be lost - putting the data at risk.The PDS4 metadata solution is based on a three-step approach. First, it is built on two key ISO standards: ISO 11179 "Information Technology - Metadata Registries", which provides a common framework and vocabulary for defining metadata attributes; and ISO 14721 "Space Data and Information Transfer Systems - Open Archival Information System (OAIS) Reference Model", which provides the framework for the information architecture that enforces the object-oriented paradigm for metadata modeling. Second, PDS has defined a hierarchical system that allows it to divide its metadata universe into namespaces ("data dictionaries", conceptually), and more importantly to delegate stewardship for a single namespace to a local authority. This means that a mission can develop its own data model with a high degree of autonomy and effectively extend the PDS model to accommodate its own metadata needs within the common ISO 11179 framework. Finally, within a single namespace - even the core PDS namespace - existing metadata structures can be extended and new structures added to the model as new needs are identifiedThis poster illustrates the PDS4 approach to metadata management and highlights the expected return on the development investment for PDS, users and data

  1. Metadata squared: enhancing its usability for volunteered geographic information and the GeoWeb

    USGS Publications Warehouse

    Poore, Barbara S.; Wolf, Eric B.; Sui, Daniel Z.; Elwood, Sarah; Goodchild, Michael F.

    2013-01-01

    The Internet has brought many changes to the way geographic information is created and shared. One aspect that has not changed is metadata. Static spatial data quality descriptions were standardized in the mid-1990s and cannot accommodate the current climate of data creation where nonexperts are using mobile phones and other location-based devices on a continuous basis to contribute data to Internet mapping platforms. The usability of standard geospatial metadata is being questioned by academics and neogeographers alike. This chapter analyzes current discussions of metadata to demonstrate how the media shift that is occurring has affected requirements for metadata. Two case studies of metadata use are presented—online sharing of environmental information through a regional spatial data infrastructure in the early 2000s, and new types of metadata that are being used today in OpenStreetMap, a map of the world created entirely by volunteers. Changes in metadata requirements are examined for usability, the ease with which metadata supports coproduction of data by communities of users, how metadata enhances findability, and how the relationship between metadata and data has changed. We argue that traditional metadata associated with spatial data infrastructures is inadequate and suggest several research avenues to make this type of metadata more interactive and effective in the GeoWeb.

  2. The Importance of Metadata in System Development and IKM

    DTIC Science & Technology

    2003-02-01

    Defence R& D Canada The Importance of Metadata in System Development and IKM Anthony W. Isenor Technical Memorandum DRDC Atlantic TM 2003-011...Metadata in System Development and IKM Anthony W. Isenor Defence R& D Canada – Atlantic Technical Memorandum DRDC Atlantic TM 2003-011 February... it is important for searches and providing relevant information to the client. A comparison of metadata standards was conducted with emphasis on

  3. Metadata, PICS and Quality.

    ERIC Educational Resources Information Center

    Armstrong, C. J.

    1997-01-01

    Discusses PICS (Platform for Internet Content Selection), the Centre for Information Quality Management (CIQM), and metadata. Highlights include filtering networked information; the quality of information; and standardizing search engines. (LRW)

  4. The Role of Metadata Standards in EOSDIS Search and Retrieval Applications

    NASA Technical Reports Server (NTRS)

    Pfister, Robin

    1999-01-01

    Metadata standards play a critical role in data search and retrieval systems. Metadata tie software to data so the data can be processed, stored, searched, retrieved and distributed. Without metadata these actions are not possible. The process of populating metadata to describe science data is an important service to the end user community so that a user who is unfamiliar with the data, can easily find and learn about a particular dataset before an order decision is made. Once a good set of standards are in place, the accuracy with which data search can be performed depends on the degree to which metadata standards are adhered during product definition. NASA's Earth Observing System Data and Information System (EOSDIS) provides examples of how metadata standards are used in data search and retrieval.

  5. Generation of Multiple Metadata Formats from a Geospatial Data Repository

    NASA Astrophysics Data System (ADS)

    Hudspeth, W. B.; Benedict, K. K.; Scott, S.

    2012-12-01

    The Earth Data Analysis Center (EDAC) at the University of New Mexico is partnering with the CYBERShARE and Environmental Health Group from the Center for Environmental Resource Management (CERM), located at the University of Texas, El Paso (UTEP), the Biodiversity Institute at the University of Kansas (KU), and the New Mexico Geo- Epidemiology Research Network (GERN) to provide a technical infrastructure that enables investigation of a variety of climate-driven human/environmental systems. Two significant goals of this NASA-funded project are: a) to increase the use of NASA Earth observational data at EDAC by various modeling communities through enabling better discovery, access, and use of relevant information, and b) to expose these communities to the benefits of provenance for improving understanding and usability of heterogeneous data sources and derived model products. To realize these goals, EDAC has leveraged the core capabilities of its Geographic Storage, Transformation, and Retrieval Engine (Gstore) platform, developed with support of the NSF EPSCoR Program. The Gstore geospatial services platform provides general purpose web services based upon the REST service model, and is capable of data discovery, access, and publication functions, metadata delivery functions, data transformation, and auto-generated OGC services for those data products that can support those services. Central to the NASA ACCESS project is the delivery of geospatial metadata in a variety of formats, including ISO 19115-2/19139, FGDC CSDGM, and the Proof Markup Language (PML). This presentation details the extraction and persistence of relevant metadata in the Gstore data store, and their transformation into multiple metadata formats that are increasingly utilized by the geospatial community to document not only core library catalog elements (e.g. title, abstract, publication data, geographic extent, projection information, and database elements), but also the processing steps used to

  6. Metadata Creation, Management and Search System for your Scientific Data

    NASA Astrophysics Data System (ADS)

    Devarakonda, R.; Palanisamy, G.

    2012-12-01

    Mercury Search Systems is a set of tools for creating, searching, and retrieving of biogeochemical metadata. Mercury toolset provides orders of magnitude improvements in search speed, support for any metadata format, integration with Google Maps for spatial queries, multi-facetted type search, search suggestions, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. Mercury's metadata editor provides a easy way for creating metadata and Mercury's search interface provides a single portal to search for data and information contained in disparate data management systems, each of which may use any metadata format including FGDC, ISO-19115, Dublin-Core, Darwin-Core, DIF, ECHO, and EML. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury is being used more than 14 different projects across 4 federal agencies. It was originally developed for NASA, with continuing development funded by NASA, USGS, and DOE for a consortium of projects. Mercury search won the NASA's Earth Science Data Systems Software Reuse Award in 2008. References: R. Devarakonda, G. Palanisamy, B.E. Wilson, and J.M. Green, "Mercury: reusable metadata management data discovery and access system", Earth Science Informatics, vol. 3, no. 1, pp. 87-94, May 2010. R. Devarakonda, G. Palanisamy, J.M. Green, B.E. Wilson, "Data sharing and retrieval using OAI-PMH", Earth Science Informatics DOI: 10.1007/s12145-010-0073-0, (2010);

  7. Distributed metadata in a high performance computing environment

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Bent, John M.; Faibish, Sorin; Zhang, Zhenhua

    A computer-executable method, system, and computer program product for managing meta-data in a distributed storage system, wherein the distributed storage system includes one or more burst buffers enabled to operate with a distributed key-value store, the co computer-executable method, system, and computer program product comprising receiving a request for meta-data associated with a block of data stored in a first burst buffer of the one or more burst buffers in the distributed storage system, wherein the meta data is associated with a key-value, determining which of the one or more burst buffers stores the requested metadata, and upon determination thatmore » a first burst buffer of the one or more burst buffers stores the requested metadata, locating the key-value in a portion of the distributed key-value store accessible from the first burst buffer.« less

  8. Survey data and metadata modelling using document-oriented NoSQL

    NASA Astrophysics Data System (ADS)

    Rahmatuti Maghfiroh, Lutfi; Gusti Bagus Baskara Nugraha, I.

    2018-03-01

    Survey data that are collected from year to year have metadata change. However it need to be stored integratedly to get statistical data faster and easier. Data warehouse (DW) can be used to solve this limitation. However there is a change of variables in every period that can not be accommodated by DW. Traditional DW can not handle variable change via Slowly Changing Dimension (SCD). Previous research handle the change of variables in DW to manage metadata by using multiversion DW (MVDW). MVDW is designed using relational model. Some researches also found that developing nonrelational model in NoSQL database has reading time faster than the relational model. Therefore, we propose changes to metadata management by using NoSQL. This study proposes a model DW to manage change and algorithms to retrieve data with metadata changes. Evaluation of the proposed models and algorithms result in that database with the proposed design can retrieve data with metadata changes properly. This paper has contribution in comprehensive data analysis with metadata changes (especially data survey) in integrated storage.

  9. Development of health information search engine based on metadata and ontology.

    PubMed

    Song, Tae-Min; Park, Hyeoun-Ae; Jin, Dal-Lae

    2014-04-01

    The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.

  10. In Interactive, Web-Based Approach to Metadata Authoring

    NASA Technical Reports Server (NTRS)

    Pollack, Janine; Wharton, Stephen W. (Technical Monitor)

    2001-01-01

    NASA's Global Change Master Directory (GCMD) serves a growing number of users by assisting the scientific community in the discovery of and linkage to Earth science data sets and related services. The GCMD holds over 8000 data set descriptions in Directory Interchange Format (DIF) and 200 data service descriptions in Service Entry Resource Format (SERF), encompassing the disciplines of geology, hydrology, oceanography, meteorology, and ecology. Data descriptions also contain geographic coverage information, thus allowing researchers to discover data pertaining to a particular geographic location, as well as subject of interest. The GCMD strives to be the preeminent data locator for world-wide directory level metadata. In this vein, scientists and data providers must have access to intuitive and efficient metadata authoring tools. Existing GCMD tools are not currently attracting. widespread usage. With usage being the prime indicator of utility, it has become apparent that current tools must be improved. As a result, the GCMD has released a new suite of web-based authoring tools that enable a user to create new data and service entries, as well as modify existing data entries. With these tools, a more interactive approach to metadata authoring is taken, as they feature a visual "checklist" of data/service fields that automatically update when a field is completed. In this way, the user can quickly gauge which of the required and optional fields have not been populated. With the release of these tools, the Earth science community will be further assisted in efficiently creating quality data and services metadata. Keywords: metadata, Earth science, metadata authoring tools

  11. A model for enhancing Internet medical document retrieval with "medical core metadata".

    PubMed

    Malet, G; Munoz, F; Appleyard, R; Hersh, W

    1999-01-01

    Finding documents on the World Wide Web relevant to a specific medical information need can be difficult. The goal of this work is to define a set of document content description tags, or metadata encodings, that can be used to promote disciplined search access to Internet medical documents. The authors based their approach on a proposed metadata standard, the Dublin Core Metadata Element Set, which has recently been submitted to the Internet Engineering Task Force. Their model also incorporates the National Library of Medicine's Medical Subject Headings (MeSH) vocabulary and MEDLINE-type content descriptions. The model defines a medical core metadata set that can be used to describe the metadata for a wide variety of Internet documents. The authors propose that their medical core metadata set be used to assign metadata to medical documents to facilitate document retrieval by Internet search engines.

  12. Metadata: Standards for Retrieving WWW Documents (and Other Digitized and Non-Digitized Resources)

    NASA Astrophysics Data System (ADS)

    Rusch-Feja, Diann

    The use of metadata for indexing digitized and non-digitized resources for resource discovery in a networked environment is being increasingly implemented all over the world. Greater precision is achieved using metadata than relying on universal search engines and furthermore, meta-data can be used as filtering mechanisms for search results. An overview of various metadata sets is given, followed by a more focussed presentation of Dublin Core Metadata including examples of sub-elements and qualifiers. Especially the use of the Dublin Core Relation element provides connections between the metadata of various related electronic resources, as well as the metadata for physical, non-digitized resources. This facilitates more comprehensive search results without losing precision and brings together different genres of information which would otherwise be only searchable in separate databases. Furthermore, the advantages of Dublin Core Metadata in comparison with library cataloging and the use of universal search engines are discussed briefly, followed by a listing of types of implementation of Dublin Core Metadata.

  13. What Information Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed Clinical Research Networks.

    PubMed

    Bruland, Philipp; Doods, Justin; Storck, Michael; Dugas, Martin

    2017-01-01

    Data dictionaries provide structural meta-information about data definitions in health information technology (HIT) systems. In this regard, reusing healthcare data for secondary purposes offers several advantages (e.g. reduce documentation times or increased data quality). Prerequisites for data reuse are its quality, availability and identical meaning of data. In diverse projects, research data warehouses serve as core components between heterogeneous clinical databases and various research applications. Given the complexity (high number of data elements) and dynamics (regular updates) of electronic health record (EHR) data structures, we propose a clinical metadata warehouse (CMDW) based on a metadata registry standard. Metadata of two large hospitals were automatically inserted into two CMDWs containing 16,230 forms and 310,519 data elements. Automatic updates of metadata are possible as well as semantic annotations. A CMDW allows metadata discovery, data quality assessment and similarity analyses. Common data models for distributed research networks can be established based on similarity analyses.

  14. DIRAC File Replica and Metadata Catalog

    NASA Astrophysics Data System (ADS)

    Tsaregorodtsev, A.; Poss, S.

    2012-12-01

    File replica and metadata catalogs are essential parts of any distributed data management system, which are largely determining its functionality and performance. A new File Catalog (DFC) was developed in the framework of the DIRAC Project that combines both replica and metadata catalog functionality. The DFC design is based on the practical experience with the data management system of the LHCb Collaboration. It is optimized for the most common patterns of the catalog usage in order to achieve maximum performance from the user perspective. The DFC supports bulk operations for replica queries and allows quick analysis of the storage usage globally and for each Storage Element separately. It supports flexible ACL rules with plug-ins for various policies that can be adopted by a particular community. The DFC catalog allows to store various types of metadata associated with files and directories and to perform efficient queries for the data based on complex metadata combinations. Definition of file ancestor-descendent relation chains is also possible. The DFC catalog is implemented in the general DIRAC distributed computing framework following the standard grid security architecture. In this paper we describe the design of the DFC and its implementation details. The performance measurements are compared with other grid file catalog implementations. The experience of the DFC Catalog usage in the CLIC detector project are discussed.

  15. Metadata Evaluation and Improvement: Evolving Analysis and Reporting

    NASA Technical Reports Server (NTRS)

    Habermann, Ted; Kozimor, John; Gordon, Sean

    2017-01-01

    ESIP Community members create and manage a large collection of environmental datasets that span multiple decades, the entire globe, and many parts of the solar system. Metadata are critical for discovering, accessing, using and understanding these data effectively and ESIP community members have successfully created large collections of metadata describing these data. As part of the White House Big Earth Data Initiative (BEDI), ESDIS has developed a suite of tools for evaluating these metadata in native dialects with respect to recommendations from many organizations. We will describe those tools and demonstrate evolving techniques for sharing results with data providers.

  16. Omics Metadata Management Software v. 1 (OMMS)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and to perform bioinformatics analyses and information management tasks via a simple and intuitive web-based interface. Several use cases with short-read sequence datasets are provided to showcase the full functionality of the OMMS, from metadata curation tasks, to bioinformatics analyses and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for web-based deployment supporting geographically dispersed research teams. Our software was developed with open-source bundles, is flexible, extensible and easily installedmore » and run by operators with general system administration and scripting language literacy.« less

  17. Forum Guide to Metadata: The Meaning behind Education Data. NFES 2009-805

    ERIC Educational Resources Information Center

    National Forum on Education Statistics, 2009

    2009-01-01

    The purpose of this guide is to empower people to more effectively use data as information. To accomplish this, the publication explains what metadata are; why metadata are critical to the development of sound education data systems; what components comprise a metadata system; what value metadata bring to data management and use; and how to…

  18. Managing biomedical image metadata for search and retrieval of similar images.

    PubMed

    Korenblum, Daniel; Rubin, Daniel; Napel, Sandy; Rodriguez, Cesar; Beaulieu, Chris

    2011-08-01

    Radiology images are generally disconnected from the metadata describing their contents, such as imaging observations ("semantic" metadata), which are usually described in text reports that are not directly linked to the images. We developed a system, the Biomedical Image Metadata Manager (BIMM) to (1) address the problem of managing biomedical image metadata and (2) facilitate the retrieval of similar images using semantic feature metadata. Our approach allows radiologists, researchers, and students to take advantage of the vast and growing repositories of medical image data by explicitly linking images to their associated metadata in a relational database that is globally accessible through a Web application. BIMM receives input in the form of standard-based metadata files using Web service and parses and stores the metadata in a relational database allowing efficient data query and maintenance capabilities. Upon querying BIMM for images, 2D regions of interest (ROIs) stored as metadata are automatically rendered onto preview images included in search results. The system's "match observations" function retrieves images with similar ROIs based on specific semantic features describing imaging observation characteristics (IOCs). We demonstrate that the system, using IOCs alone, can accurately retrieve images with diagnoses matching the query images, and we evaluate its performance on a set of annotated liver lesion images. BIMM has several potential applications, e.g., computer-aided detection and diagnosis, content-based image retrieval, automating medical analysis protocols, and gathering population statistics like disease prevalences. The system provides a framework for decision support systems, potentially improving their diagnostic accuracy and selection of appropriate therapies.

  19. A Shared Infrastructure for Federated Search Across Distributed Scientific Metadata Catalogs

    NASA Astrophysics Data System (ADS)

    Reed, S. A.; Truslove, I.; Billingsley, B. W.; Grauch, A.; Harper, D.; Kovarik, J.; Lopez, L.; Liu, M.; Brandt, M.

    2013-12-01

    The vast amount of science metadata can be overwhelming and highly complex. Comprehensive analysis and sharing of metadata is difficult since institutions often publish to their own repositories. There are many disjoint standards used for publishing scientific data, making it difficult to discover and share information from different sources. Services that publish metadata catalogs often have different protocols, formats, and semantics. The research community is limited by the exclusivity of separate metadata catalogs and thus it is desirable to have federated search interfaces capable of unified search queries across multiple sources. Aggregation of metadata catalogs also enables users to critique metadata more rigorously. With these motivations in mind, the National Snow and Ice Data Center (NSIDC) and Advanced Cooperative Arctic Data and Information Service (ACADIS) implemented two search interfaces for the community. Both the NSIDC Search and ACADIS Arctic Data Explorer (ADE) use a common infrastructure which keeps maintenance costs low. The search clients are designed to make OpenSearch requests against Solr, an Open Source search platform. Solr applies indexes to specific fields of the metadata which in this instance optimizes queries containing keywords, spatial bounds and temporal ranges. NSIDC metadata is reused by both search interfaces but the ADE also brokers additional sources. Users can quickly find relevant metadata with minimal effort and ultimately lowers costs for research. This presentation will highlight the reuse of data and code between NSIDC and ACADIS, discuss challenges and milestones for each project, and will identify creation and use of Open Source libraries.

  20. Using a linked data approach to aid development of a metadata portal to support Marine Strategy Framework Directive (MSFD) implementation

    NASA Astrophysics Data System (ADS)

    Wood, Chris

    2016-04-01

    Under the Marine Strategy Framework Directive (MSFD), EU Member States are mandated to achieve or maintain 'Good Environmental Status' (GES) in their marine areas by 2020, through a series of Programme of Measures (PoMs). The Celtic Seas Partnership (CSP), an EU LIFE+ project, aims to support policy makers, special-interest groups, users of the marine environment, and other interested stakeholders on MSFD implementation in the Celtic Seas geographical area. As part of this support, a metadata portal has been built to provide a signposting service to datasets that are relevant to MSFD within the Celtic Seas. To ensure that the metadata has the widest possible reach, a linked data approach was employed to construct the database. Although the metadata are stored in a traditional RDBS, the metadata are exposed as linked data via the D2RQ platform, allowing virtual RDF graphs to be generated. SPARQL queries can be executed against the end-point allowing any user to manipulate the metadata. D2RQ's mapping language, based on turtle, was used to map a wide range of relevant ontologies to the metadata (e.g. The Provenance Ontology (prov-o), Ocean Data Ontology (odo), Dublin Core Elements and Terms (dc & dcterms), Friend of a Friend (foaf), and Geospatial ontologies (geo)) allowing users to browse the metadata, either via SPARQL queries or by using D2RQ's HTML interface. The metadata were further enhanced by mapping relevant parameters to the NERC Vocabulary Server, itself built on a SPARQL endpoint. Additionally, a custom web front-end was built to enable users to browse the metadata and express queries through an intuitive graphical user interface that requires no prior knowledge of SPARQL. As well as providing means to browse the data via MSFD-related parameters (Descriptor, Criteria, and Indicator), the metadata records include the dataset's country of origin, the list of organisations involved in the management of the data, and links to any relevant INSPIRE

  1. 106-17 Telemetry Standards Metadata Configuration Chapter 23

    DTIC Science & Technology

    2017-07-01

    23-1 23.2 Metadata Description Language ...Chapter 23, July 2017 iii Acronyms HTML Hypertext Markup Language MDL Metadata Description Language PCM pulse code modulation TMATS Telemetry...Attributes Transfer Standard W3C World Wide Web Consortium XML eXtensible Markup Language XSD XML schema document Telemetry Network Standard

  2. Development of Health Information Search Engine Based on Metadata and Ontology

    PubMed Central

    Song, Tae-Min; Jin, Dal-Lae

    2014-01-01

    Objectives The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. Methods Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. Results A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. Conclusions Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers. PMID:24872907

  3. FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Christianson, Danielle; Varadharajan, Charuleka; Christoffersen, Brad

    FRAMES is a a set of Excel metadata files and package-level descriptive metadata that are designed to facilitate and improve capture of desired metadata for ecohydrological observations. The metadata are bundled with data files into a data package and submitted to a data repository (e.g. the NGEE Tropics Data Repository) via a web form. FRAMES standardizes reporting of diverse ecohydrological and biogeochemical data for synthesis across a range of spatiotemporal scales and incorporates many best data science practices. This version of FRAMES supports observations for primarily automated measurements collected by permanently located sensors, including sap flow (tree water use), leafmore » surface temperature, soil water content, dendrometry (stem diameter growth increment), and solar radiation. Version 1.1 extend the controlled vocabulary and incorporates functionality to facilitate programmatic use of data and FRAMES metadata (R code available at NGEE Tropics Data Repository).« less

  4. EXIF Custom: Automatic image metadata extraction for Scratchpads and Drupal.

    PubMed

    Baker, Ed

    2013-01-01

    Many institutions and individuals use embedded metadata to aid in the management of their image collections. Many deskop image management solutions such as Adobe Bridge and online tools such as Flickr also make use of embedded metadata to describe, categorise and license images. Until now Scratchpads (a data management system and virtual research environment for biodiversity) have not made use of these metadata, and users have had to manually re-enter this information if they have wanted to display it on their Scratchpad site. The Drupal described here allows users to map metadata embedded in their images to the associated field in the Scratchpads image form using one or more customised mappings. The module works seamlessly with the bulk image uploader used on Scratchpads and it is therefore possible to upload hundreds of images easily with automatic metadata (EXIF, XMP and IPTC) extraction and mapping.

  5. An Approach to Information Management for AIR7000 with Metadata and Ontologies

    DTIC Science & Technology

    2009-10-01

    metadata. We then propose an approach based on Semantic Technologies including the Resource Description Framework (RDF) and Upper Ontologies, for the...mandating specific metadata schemas can result in interoperability problems. For example, many standards within the ADO mandate the use of XML for metadata...such problems, we propose an archi- tecture in which different metadata schemes can inter operate. By using RDF (Resource Description Framework ) as a

  6. Metadata Exporter for Scientific Photography Management

    NASA Astrophysics Data System (ADS)

    Staudigel, D.; English, B.; Delaney, R.; Staudigel, H.; Koppers, A.; Hart, S.

    2005-12-01

    Photographs have become an increasingly important medium, especially with the advent of digital cameras. It has become inexpensive to take photographs and quickly post them on a website. However informative photos may be, they still need to be displayed in a convenient way, and be cataloged in such a manner that makes them easily locatable. Managing the great number of photographs that digital cameras allow and creating a format for efficient dissemination of the information related to the photos is a tedious task. Products such as Apple's iPhoto have greatly eased the task of managing photographs, However, they often have limitations. Un-customizable metadata fields and poor metadata extraction tools limit their scientific usefulness. A solution to this persistent problem is a customizable metadata exporter. On the ALIA expedition, we successfully managed the thousands of digital photos we took. We did this with iPhoto and a version of the exporter that is now available to the public under the name "CustomHTMLExport" (http://www.versiontracker.com/dyn/moreinfo/macosx/27777), currently undergoing formal beta testing This software allows the use of customized metadata fields (including description, time, date, GPS data, etc.), which is exported along with the photo. It can also produce webpages with this data straight from iPhoto, in a much more flexible way than is already allowed. With this tool it becomes very easy to manage and distribute scientific photos.

  7. Identity and privacy. Unique in the shopping mall: on the reidentifiability of credit card metadata.

    PubMed

    de Montjoye, Yves-Alexandre; Radaelli, Laura; Singh, Vivek Kumar; Pentland, Alex Sandy

    2015-01-30

    Large-scale data sets of human behavior have the potential to fundamentally transform the way we fight diseases, design cities, or perform research. Metadata, however, contain sensitive information. Understanding the privacy of these data sets is key to their broad use and, ultimately, their impact. We study 3 months of credit card records for 1.1 million people and show that four spatiotemporal points are enough to uniquely reidentify 90% of individuals. We show that knowing the price of a transaction increases the risk of reidentification by 22%, on average. Finally, we show that even data sets that provide coarse information at any or all of the dimensions provide little anonymity and that women are more reidentifiable than men in credit card metadata. Copyright © 2015, American Association for the Advancement of Science.

  8. Creating FGDC and NBII metadata with Metavist 2005.

    Treesearch

    David J. Rugg

    2004-01-01

    This report documents a computer program for creating metadata compliant with the Federal Geographic Data Committee (FGDC) 1998 metadata standard or the National Biological Information Infrastructure (NBII) 1999 Biological Data Profile for the FGDC standard. The software runs under the Microsoft Windows 2000 and XP operating systems, and requires the presence of...

  9. A Model for the Creation of Human-Generated Metadata within Communities

    ERIC Educational Resources Information Center

    Brasher, Andrew; McAndrew, Patrick

    2005-01-01

    This paper considers situations for which detailed metadata descriptions of learning resources are necessary, and focuses on human generation of such metadata. It describes a model which facilitates human production of good quality metadata by the development and use of structured vocabularies. Using examples, this model is applied to single and…

  10. A Semantically Enabled Metadata Repository for Solar Irradiance Data Products

    NASA Astrophysics Data System (ADS)

    Wilson, A.; Cox, M.; Lindholm, D. M.; Nadiadi, I.; Traver, T.

    2014-12-01

    The Laboratory for Atmospheric and Space Physics, LASP, has been conducting research in Atmospheric and Space science for over 60 years, and providing the associated data products to the public. LASP has a long history, in particular, of making space-based measurements of the solar irradiance, which serves as crucial input to several areas of scientific research, including solar-terrestrial interactions, atmospheric, and climate. LISIRD, the LASP Interactive Solar Irradiance Data Center, serves these datasets to the public, including solar spectral irradiance (SSI) and total solar irradiance (TSI) data. The LASP extended metadata repository, LEMR, is a database of information about the datasets served by LASP, such as parameters, uncertainties, temporal and spectral ranges, current version, alerts, etc. It serves as the definitive, single source of truth for that information. The database is populated with information garnered via web forms and automated processes. Dataset owners keep the information current and verified for datasets under their purview. This information can be pulled dynamically for many purposes. Web sites such as LISIRD can include this information in web page content as it is rendered, ensuring users get current, accurate information. It can also be pulled to create metadata records in various metadata formats, such as SPASE (for heliophysics) and ISO 19115. Once these records are be made available to the appropriate registries, our data will be discoverable by users coming in via those organizations. The database is implemented as a RDF triplestore, a collection of instances of subject-object-predicate data entities identifiable with a URI. This capability coupled with SPARQL over HTTP read access enables semantic queries over the repository contents. To create the repository we leveraged VIVO, an open source semantic web application, to manage and create new ontologies and populate repository content. A variety of ontologies were used in

  11. Pragmatic Metadata Management for Integration into Multiple Spatial Data Infrastructure Systems and Platforms

    NASA Astrophysics Data System (ADS)

    Benedict, K. K.; Scott, S.

    2013-12-01

    While there has been a convergence towards a limited number of standards for representing knowledge (metadata) about geospatial (and other) data objects and collections, there exist a variety of community conventions around the specific use of those standards and within specific data discovery and access systems. This combination of limited (but multiple) standards and conventions creates a challenge for system developers that aspire to participate in multiple data infrastrucutres, each of which may use a different combination of standards and conventions. While Extensible Markup Language (XML) is a shared standard for encoding most metadata, traditional direct XML transformations (XSLT) from one standard to another often result in an imperfect transfer of information due to incomplete mapping from one standard's content model to another. This paper presents the work at the University of New Mexico's Earth Data Analysis Center (EDAC) in which a unified data and metadata management system has been developed in support of the storage, discovery and access of heterogeneous data products. This system, the Geographic Storage, Transformation and Retrieval Engine (GSTORE) platform has adopted a polyglot database model in which a combination of relational and document-based databases are used to store both data and metadata, with some metadata stored in a custom XML schema designed as a superset of the requirements for multiple target metadata standards: ISO 19115-2/19139/19110/19119, FGCD CSDGM (both with and without remote sensing extensions) and Dublin Core. Metadata stored within this schema is complemented by additional service, format and publisher information that is dynamically "injected" into produced metadata documents when they are requested from the system. While mapping from the underlying common metadata schema is relatively straightforward, the generation of valid metadata within each target standard is necessary but not sufficient for integration into

  12. Metadata and annotations for multi-scale electrophysiological data.

    PubMed

    Bower, Mark R; Stead, Matt; Brinkmann, Benjamin H; Dufendach, Kevin; Worrell, Gregory A

    2009-01-01

    The increasing use of high-frequency (kHz), long-duration (days) intracranial monitoring from multiple electrodes during pre-surgical evaluation for epilepsy produces large amounts of data that are challenging to store and maintain. Descriptive metadata and clinical annotations of these large data sets also pose challenges to simple, often manual, methods of data analysis. The problems of reliable communication of metadata and annotations between programs, the maintenance of the meanings within that information over long time periods, and the flexibility to re-sort data for analysis place differing demands on data structures and algorithms. Solutions to these individual problem domains (communication, storage and analysis) can be configured to provide easy translation and clarity across the domains. The Multi-scale Annotation Format (MAF) provides an integrated metadata and annotation environment that maximizes code reuse, minimizes error probability and encourages future changes by reducing the tendency to over-fit information technology solutions to current problems. An example of a graphical utility for generating and evaluating metadata and annotations for "big data" files is presented.

  13. mzML2ISA & nmrML2ISA: generating enriched ISA-Tab metadata files from metabolomics XML data

    PubMed Central

    Larralde, Martin; Lawson, Thomas N.; Weber, Ralf J. M.; Moreno, Pablo; Haug, Kenneth; Rocca-Serra, Philippe; Viant, Mark R.; Steinbeck, Christoph; Salek, Reza M.

    2017-01-01

    Abstract Summary Submission to the MetaboLights repository for metabolomics data currently places the burden of reporting instrument and acquisition parameters in ISA-Tab format on users, who have to do it manually, a process that is time consuming and prone to user input error. Since the large majority of these parameters are embedded in instrument raw data files, an opportunity exists to capture this metadata more accurately. Here we report a set of Python packages that can automatically generate ISA-Tab metadata file stubs from raw XML metabolomics data files. The parsing packages are separated into mzML2ISA (encompassing mzML and imzML formats) and nmrML2ISA (nmrML format only). Overall, the use of mzML2ISA & nmrML2ISA reduces the time needed to capture metadata substantially (capturing 90% of metadata on assay and sample levels), is much less prone to user input errors, improves compliance with minimum information reporting guidelines and facilitates more finely grained data exploration and querying of datasets. Availability and Implementation mzML2ISA & nmrML2ISA are available under version 3 of the GNU General Public Licence at https://github.com/ISA-tools. Documentation is available from http://2isa.readthedocs.io/en/latest/. Contact reza.salek@ebi.ac.uk or isatools@googlegroups.com Supplementary information Supplementary data are available at Bioinformatics online. PMID:28402395

  14. A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations

    DOE PAGES

    Christianson, Danielle S.; Varadharajan, Charuleka; Christoffersen, Bradley; ...

    2017-06-20

    Metadata describe the ancillary information needed for data interpretation, comparison across heterogeneous datasets, and quality control and quality assessment (QA/QC). Metadata enable the synthesis of diverse ecohydrological and biogeochemical observations, an essential step in advancing a predictive understanding of earth systems. Environmental observations can be taken across a wide range of spatiotemporal scales in a variety of measurement settings and approaches, and saved in multiple formats. Thus, well-organized, consistent metadata are required to produce usable data products from diverse observations collected in disparate field sites. However, existing metadata reporting protocols do not support the complex data synthesis needs of interdisciplinarymore » earth system research. We developed a metadata reporting framework (FRAMES) to enable predictive understanding of carbon cycling in tropical forests under global change. FRAMES adheres to best practices for data and metadata organization, enabling consistent data reporting and thus compatibility with a variety of standardized data protocols. We used an iterative scientist-centered design process to develop FRAMES. The resulting modular organization streamlines metadata reporting and can be expanded to incorporate additional data types. The flexible data reporting format incorporates existing field practices to maximize data-entry efficiency. With FRAMES’s multi-scale measurement position hierarchy, data can be reported at observed spatial resolutions and then easily aggregated and linked across measurement types to support model-data integration. FRAMES is in early use by both data providers and users. Here in this article, we describe FRAMES, identify lessons learned, and discuss areas of future development.« less

  15. A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Christianson, Danielle S.; Varadharajan, Charuleka; Christoffersen, Bradley

    Metadata describe the ancillary information needed for data interpretation, comparison across heterogeneous datasets, and quality control and quality assessment (QA/QC). Metadata enable the synthesis of diverse ecohydrological and biogeochemical observations, an essential step in advancing a predictive understanding of earth systems. Environmental observations can be taken across a wide range of spatiotemporal scales in a variety of measurement settings and approaches, and saved in multiple formats. Thus, well-organized, consistent metadata are required to produce usable data products from diverse observations collected in disparate field sites. However, existing metadata reporting protocols do not support the complex data synthesis needs of interdisciplinarymore » earth system research. We developed a metadata reporting framework (FRAMES) to enable predictive understanding of carbon cycling in tropical forests under global change. FRAMES adheres to best practices for data and metadata organization, enabling consistent data reporting and thus compatibility with a variety of standardized data protocols. We used an iterative scientist-centered design process to develop FRAMES. The resulting modular organization streamlines metadata reporting and can be expanded to incorporate additional data types. The flexible data reporting format incorporates existing field practices to maximize data-entry efficiency. With FRAMES’s multi-scale measurement position hierarchy, data can be reported at observed spatial resolutions and then easily aggregated and linked across measurement types to support model-data integration. FRAMES is in early use by both data providers and users. Here in this article, we describe FRAMES, identify lessons learned, and discuss areas of future development.« less

  16. The PDS4 Data Dictionary Tool - Metadata Design for Data Preparers

    NASA Astrophysics Data System (ADS)

    Raugh, A.; Hughes, J. S.

    2017-12-01

    One of the major design goals of the PDS4 development effort was to create an extendable Information Model (IM) for the archive, and to allow mission data designers/preparers to create extensions for metadata definitions specific to their own contexts. This capability is critical for the Planetary Data System - an archive that deals with a data collection that is diverse along virtually every conceivable axis. Amid such diversity in the data itself, it is in the best interests of the PDS archive and its users that all extensions to the IM follow the same design techniques, conventions, and restrictions as the core implementation itself. But it is unrealistic to expect mission data designers to acquire expertise in information modeling, model-driven design, ontology, schema formulation, and PDS4 design conventions and philosophy in order to define their own metadata. To bridge that expertise gap and bring the power of information modeling to the data label designer, the PDS Engineering Node has developed the data dictionary creation tool known as "LDDTool". This tool incorporates the same software used to maintain and extend the core IM, packaged with an interface that enables a developer to create his extension to the IM using the same, standards-based metadata framework PDS itself uses. Through this interface, the novice dictionary developer has immediate access to the common set of data types and unit classes for defining attributes, and a straight-forward method for constructing classes. The more experienced developer, using the same tool, has access to more sophisticated modeling methods like abstraction and extension, and can define context-specific validation rules. We present the key features of the PDS Local Data Dictionary Tool, which both supports the development of extensions to the PDS4 IM, and ensures their compatibility with the IM.

  17. PIMMS tools for capturing metadata about simulations

    NASA Astrophysics Data System (ADS)

    Pascoe, Charlotte; Devine, Gerard; Tourte, Gregory; Pascoe, Stephen; Lawrence, Bryan; Barjat, Hannah

    2013-04-01

    PIMMS (Portable Infrastructure for the Metafor Metadata System) provides a method for consistent and comprehensive documentation of modelling activities that enables the sharing of simulation data and model configuration information. The aim of PIMMS is to package the metadata infrastructure developed by Metafor for CMIP5 so that it can be used by climate modelling groups in UK Universities. PIMMS tools capture information about simulations from the design of experiments to the implementation of experiments via simulations that run models. PIMMS uses the Metafor methodology which consists of a Common Information Model (CIM), Controlled Vocabularies (CV) and software tools. PIMMS software tools provide for the creation and consumption of CIM content via a web services infrastructure and portal developed by the ES-DOC community. PIMMS metadata integrates with the ESGF data infrastructure via the mapping of vocabularies onto ESGF facets. There are three paradigms of PIMMS metadata collection: Model Intercomparision Projects (MIPs) where a standard set of questions is asked of all models which perform standard sets of experiments. Disciplinary level metadata collection where a standard set of questions is asked of all models but experiments are specified by users. Bespoke metadata creation where the users define questions about both models and experiments. Examples will be shown of how PIMMS has been configured to suit each of these three paradigms. In each case PIMMS allows users to provide additional metadata beyond that which is asked for in an initial deployment. The primary target for PIMMS is the UK climate modelling community where it is common practice to reuse model configurations from other researchers. This culture of collaboration exists in part because climate models are very complex with many variables that can be modified. Therefore it has become common practice to begin a series of experiments by using another climate model configuration as a starting

  18. A Metadata Management Framework for Collaborative Review of Science Data Products

    NASA Astrophysics Data System (ADS)

    Hart, A. F.; Cinquini, L.; Mattmann, C. A.; Thompson, D. R.; Wagstaff, K.; Zimdars, P. A.; Jones, D. L.; Lazio, J.; Preston, R. A.

    2012-12-01

    Data volumes generated by modern scientific instruments often preclude archiving the complete observational record. To compensate, science teams have developed a variety of "triage" techniques for identifying data of potential scientific interest and marking it for prioritized processing or permanent storage. This may involve multiple stages of filtering with both automated and manual components operating at different timescales. A promising approach exploits a fast, fully automated first stage followed by a more reliable offline manual review of candidate events. This hybrid approach permits a 24-hour rapid real-time response while also preserving the high accuracy of manual review. To support this type of second-level validation effort, we have developed a metadata-driven framework for the collaborative review of candidate data products. The framework consists of a metadata processing pipeline and a browser-based user interface that together provide a configurable mechanism for reviewing data products via the web, and capturing the full stack of associated metadata in a robust, searchable archive. Our system heavily leverages software from the Apache Object Oriented Data Technology (OODT) project, an open source data integration framework that facilitates the construction of scalable data systems and places a heavy emphasis on the utilization of metadata to coordinate processing activities. OODT provides a suite of core data management components for file management and metadata cataloging that form the foundation for this effort. The system has been deployed at JPL in support of the V-FASTR experiment [1], a software-based radio transient detection experiment that operates commensally at the Very Long Baseline Array (VLBA), and has a science team that is geographically distributed across several countries. Daily review of automatically flagged data is a shared responsibility for the team, and is essential to keep the project within its resource constraints. We

  19. Federating Metadata Catalogs

    NASA Astrophysics Data System (ADS)

    Baru, C.; Lin, K.

    2009-04-01

    The Geosciences Network project (www.geongrid.org) has been developing cyberinfrastructure for data sharing in the Earth Science community based on a service-oriented architecture. The project defines a standard "software stack", which includes a standardized set of software modules and corresponding service interfaces. The system employs Grid certificates for distributed user authentication. The GEON Portal provides online access to these services via a set of portlets. This service-oriented approach has enabled the GEON network to easily expand to new sites and deploy the same infrastructure in new projects. To facilitate interoperation with other distributed geoinformatics environments, service standards are being defined and implemented for catalog services and federated search across distributed catalogs. The need arises because there may be multiple metadata catalogs in a distributed system, for example, for each institution, agency, geographic region, and/or country. Ideally, a geoinformatics user should be able to search across all such catalogs by making a single search request. In this paper, we describe our implementation for such a search capability across federated metadata catalogs in the GEON service-oriented architecture. The GEON catalog can be searched using spatial, temporal, and other metadata-based search criteria. The search can be invoked as a Web service and, thus, can be imbedded in any software application. The need for federated catalogs in GEON arises because, (i) GEON collaborators at the University of Hyderabad, India have deployed their own catalog, as part of the iGEON-India effort, to register information about local resources for broader access across the network, (ii) GEON collaborators in the GEO Grid (Global Earth Observations Grid) project at AIST, Japan have implemented a catalog for their ASTER data products, and (iii) we have recently deployed a search service to access all data products from the EarthScope project in the US

  20. Towards Precise Metadata-set for Discovering 3D Geospatial Models in Geo-portals

    NASA Astrophysics Data System (ADS)

    Zamyadi, A.; Pouliot, J.; Bédard, Y.

    2013-09-01

    Accessing 3D geospatial models, eventually at no cost and for unrestricted use, is certainly an important issue as they become popular among participatory communities, consultants, and officials. Various geo-portals, mainly established for 2D resources, have tried to provide access to existing 3D resources such as digital elevation model, LIDAR or classic topographic data. Describing the content of data, metadata is a key component of data discovery in geo-portals. An inventory of seven online geo-portals and commercial catalogues shows that the metadata referring to 3D information is very different from one geo-portal to another as well as for similar 3D resources in the same geo-portal. The inventory considered 971 data resources affiliated with elevation. 51% of them were from three geo-portals running at Canadian federal and municipal levels whose metadata resources did not consider 3D model by any definition. Regarding the remaining 49% which refer to 3D models, different definition of terms and metadata were found, resulting in confusion and misinterpretation. The overall assessment of these geo-portals clearly shows that the provided metadata do not integrate specific and common information about 3D geospatial models. Accordingly, the main objective of this research is to improve 3D geospatial model discovery in geo-portals by adding a specific metadata-set. Based on the knowledge and current practices on 3D modeling, and 3D data acquisition and management, a set of metadata is proposed to increase its suitability for 3D geospatial models. This metadata-set enables the definition of genuine classes, fields, and code-lists for a 3D metadata profile. The main structure of the proposal contains 21 metadata classes. These classes are classified in three packages as General and Complementary on contextual and structural information, and Availability on the transition from storage to delivery format. The proposed metadata set is compared with Canadian Geospatial

  1. Streamlining Metadata and Data Management for Evolving Digital Libraries

    NASA Astrophysics Data System (ADS)

    Clark, D.; Miller, S. P.; Peckman, U.; Smith, J.; Aerni, S.; Helly, J.; Sutton, D.; Chase, A.

    2003-12-01

    What began two years ago as an effort to stabilize the Scripps Institution of Oceanography (SIO) data archives from more than 700 cruises going back 50 years, has now become the operational fully-searchable "SIOExplorer" digital library, complete with thousands of historic photographs, images, maps, full text documents, binary data files, and 3D visualization experiences, totaling nearly 2 terabytes of digital content. Coping with data diversity and complexity has proven to be more challenging than dealing with large volumes of digital data. SIOExplorer has been built with scalability in mind, so that the addition of new data types and entire new collections may be accomplished with ease. It is a federated system, currently interoperating with three independent data-publishing authorities, each responsible for their own quality control, metadata specifications, and content selection. The IT architecture implemented at the San Diego Supercomputer Center (SDSC) streamlines the integration of additional projects in other disciplines with a suite of metadata management and collection building tools for "arbitrary digital objects." Metadata are automatically harvested from data files into domain-specific metadata blocks, and mapped into various specification standards as needed. Metadata can be browsed and objects can be viewed onscreen or downloaded for further analysis, with automatic proprietary-hold request management.

  2. ALE: automated label extraction from GEO metadata.

    PubMed

    Giles, Cory B; Brown, Chase A; Ripperger, Michael; Dennis, Zane; Roopnarinesingh, Xiavan; Porter, Hunter; Perz, Aleksandra; Wren, Jonathan D

    2017-12-28

    NCBI's Gene Expression Omnibus (GEO) is a rich community resource containing millions of gene expression experiments from human, mouse, rat, and other model organisms. However, information about each experiment (metadata) is in the format of an open-ended, non-standardized textual description provided by the depositor. Thus, classification of experiments for meta-analysis by factors such as gender, age of the sample donor, and tissue of origin is not feasible without assigning labels to the experiments. Automated approaches are preferable for this, primarily because of the size and volume of the data to be processed, but also because it ensures standardization and consistency. While some of these labels can be extracted directly from the textual metadata, many of the data available do not contain explicit text informing the researcher about the age and gender of the subjects with the study. To bridge this gap, machine-learning methods can be trained to use the gene expression patterns associated with the text-derived labels to refine label-prediction confidence. Our analysis shows only 26% of metadata text contains information about gender and 21% about age. In order to ameliorate the lack of available labels for these data sets, we first extract labels from the textual metadata for each GEO RNA dataset and evaluate the performance against a gold standard of manually curated labels. We then use machine-learning methods to predict labels, based upon gene expression of the samples and compare this to the text-based method. Here we present an automated method to extract labels for age, gender, and tissue from textual metadata and GEO data using both a heuristic approach as well as machine learning. We show the two methods together improve accuracy of label assignment to GEO samples.

  3. A document centric metadata registration tool constructing earth environmental data infrastructure

    NASA Astrophysics Data System (ADS)

    Ichino, M.; Kinutani, H.; Ono, M.; Shimizu, T.; Yoshikawa, M.; Masuda, K.; Fukuda, K.; Kawamoto, H.

    2009-12-01

    DIAS (Data Integration and Analysis System) is one of GEOSS activities in Japan. It is also a leading part of the GEOSS task with the same name defined in GEOSS Ten Year Implementation Plan. The main mission of DIAS is to construct data infrastructure that can effectively integrate earth environmental data such as observation data, numerical model outputs, and socio-economic data provided from the fields of climate, water cycle, ecosystem, ocean, biodiversity and agriculture. Some of DIAS's data products are available at the following web site of http://www.jamstec.go.jp/e/medid/dias. Most of earth environmental data commonly have spatial and temporal attributes such as the covering geographic scope or the created date. The metadata standards including these common attributes are published by the geographic information technical committee (TC211) in ISO (the International Organization for Standardization) as specifications of ISO 19115:2003 and 19139:2007. Accordingly, DIAS metadata is developed with basing on ISO/TC211 metadata standards. From the viewpoint of data users, metadata is useful not only for data retrieval and analysis but also for interoperability and information sharing among experts, beginners and nonprofessionals. On the other hand, from the viewpoint of data providers, two problems were pointed out after discussions. One is that data providers prefer to minimize another tasks and spending time for creating metadata. Another is that data providers want to manage and publish documents to explain their data sets more comprehensively. Because of solving these problems, we have been developing a document centric metadata registration tool. The features of our tool are that the generated documents are available instantly and there is no extra cost for data providers to generate metadata. Also, this tool is developed as a Web application. So, this tool does not demand any software for data providers if they have a web-browser. The interface of the tool

  4. SEER Abstracting Tool (SEER*Abs)

    Cancer.gov

    With this customizable tool, registrars can collect and store data abstracted from medical records. Download the software and find technical support and reference manuals. SEER*Abs has features for creating records, managing abstracting work and data, accessing reference data, and integrating edits.

  5. OlyMPUS - The Ontology-based Metadata Portal for Unified Semantics

    NASA Astrophysics Data System (ADS)

    Huffer, E.; Gleason, J. L.

    2015-12-01

    The Ontology-based Metadata Portal for Unified Semantics (OlyMPUS), funded by the NASA Earth Science Technology Office Advanced Information Systems Technology program, is an end-to-end system designed to support data consumers and data providers, enabling the latter to register their data sets and provision them with the semantically rich metadata that drives the Ontology-Driven Interactive Search Environment for Earth Sciences (ODISEES). OlyMPUS leverages the semantics and reasoning capabilities of ODISEES to provide data producers with a semi-automated interface for producing the semantically rich metadata needed to support ODISEES' data discovery and access services. It integrates the ODISEES metadata search system with multiple NASA data delivery tools to enable data consumers to create customized data sets for download to their computers, or for NASA Advanced Supercomputing (NAS) facility registered users, directly to NAS storage resources for access by applications running on NAS supercomputers. A core function of NASA's Earth Science Division is research and analysis that uses the full spectrum of data products available in NASA archives. Scientists need to perform complex analyses that identify correlations and non-obvious relationships across all types of Earth System phenomena. Comprehensive analytics are hindered, however, by the fact that many Earth science data products are disparate and hard to synthesize. Variations in how data are collected, processed, gridded, and stored, create challenges for data interoperability and synthesis, which are exacerbated by the sheer volume of available data. Robust, semantically rich metadata can support tools for data discovery and facilitate machine-to-machine transactions with services such as data subsetting, regridding, and reformatting. Such capabilities are critical to enabling the research activities integral to NASA's strategic plans. However, as metadata requirements increase and competing standards emerge

  6. Metadata for data rescue and data at risk

    USGS Publications Warehouse

    Anderson, William L.; Faundeen, John L.; Greenberg, Jane; Taylor, Fraser

    2011-01-01

    Scientific data age, become stale, fall into disuse and run tremendous risks of being forgotten and lost. These problems can be addressed by archiving and managing scientific data over time, and establishing practices that facilitate data discovery and reuse. Metadata documentation is integral to this work and essential for measuring and assessing high priority data preservation cases. The International Council for Science: Committee on Data for Science and Technology (CODATA) has a newly appointed Data-at-Risk Task Group (DARTG), participating in the general arena of rescuing data. The DARTG primary objective is building an inventory of scientific data that are at risk of being lost forever. As part of this effort, the DARTG is testing an approach for documenting endangered datasets. The DARTG is developing a minimal and easy to use set of metadata properties for sufficiently describing endangered data, which will aid global data rescue missions. The DARTG metadata framework supports rapid capture, and easy documentation, across an array of scientific domains. This paper reports on the goals and principles supporting the DARTG metadata schema, and provides a description of the preliminary implementation.

  7. A novel framework for assessing metadata quality in epidemiological and public health research settings

    PubMed Central

    McMahon, Christiana; Denaxas, Spiros

    2016-01-01

    Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly. PMID:27570670

  8. A novel framework for assessing metadata quality in epidemiological and public health research settings.

    PubMed

    McMahon, Christiana; Denaxas, Spiros

    2016-01-01

    Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly.

  9. Studies of Big Data metadata segmentation between relational and non-relational databases

    NASA Astrophysics Data System (ADS)

    Golosova, M. V.; Grigorieva, M. A.; Klimentov, A. A.; Ryabinkin, E. A.; Dimitrov, G.; Potekhin, M.

    2015-12-01

    In recent years the concepts of Big Data became well established in IT. Systems managing large data volumes produce metadata that describe data and workflows. These metadata are used to obtain information about current system state and for statistical and trend analysis of the processes these systems drive. Over the time the amount of the stored metadata can grow dramatically. In this article we present our studies to demonstrate how metadata storage scalability and performance can be improved by using hybrid RDBMS/NoSQL architecture.

  10. Inter-University Upper Atmosphere Global Observation Network (IUGONET) Metadata Database and Its Interoperability

    NASA Astrophysics Data System (ADS)

    Yatagai, A. I.; Iyemori, T.; Ritschel, B.; Koyama, Y.; Hori, T.; Abe, S.; Tanaka, Y.; Shinbori, A.; Umemura, N.; Sato, Y.; Yagi, M.; Ueno, S.; Hashiguchi, N. O.; Kaneda, N.; Belehaki, A.; Hapgood, M. A.

    2013-12-01

    The IUGONET is a Japanese program to build a metadata database for ground-based observations of the upper atmosphere [1]. The project began in 2009 with five Japanese institutions which archive data observed by radars, magnetometers, photometers, radio telescopes and helioscopes, and so on, at various altitudes from the Earth's surface to the Sun. Systems have been developed to allow searching of the above described metadata. We have been updating the system and adding new and updated metadata. The IUGONET development team adopted the SPASE metadata model [2] to describe the upper atmosphere data. This model is used as the common metadata format by the virtual observatories for solar-terrestrial physics. It includes metadata referring to each data file (called a 'Granule'), which enable a search for data files as well as data sets. Further details are described in [2] and [3]. Currently, three additional Japanese institutions are being incorporated in IUGONET. Furthermore, metadata of observations of the troposphere, taken at the observatories of the middle and upper atmosphere radar at Shigaraki and the Meteor radar in Indonesia, have been incorporated. These additions will contribute to efficient interdisciplinary scientific research. In the beginning of 2013, the registration of the 'Observatory' and 'Instrument' metadata was completed, which makes it easy to overview of the metadata database. The number of registered metadata as of the end of July, totalled 8.8 million, including 793 observatories and 878 instruments. It is important to promote interoperability and/or metadata exchange between the database development groups. A memorandum of agreement has been signed with the European Near-Earth Space Data Infrastructure for e-Science (ESPAS) project, which has similar objectives to IUGONET with regard to a framework for formal collaboration. Furthermore, observations by satellites and the International Space Station are being incorporated with a view for

  11. Integrated Array/Metadata Analytics

    NASA Astrophysics Data System (ADS)

    Misev, Dimitar; Baumann, Peter

    2015-04-01

    Data comes in various forms and types, and integration usually presents a problem that is often simply ignored and solved with ad-hoc solutions. Multidimensional arrays are an ubiquitous data type, that we find at the core of virtually all science and engineering domains, as sensor, model, image, statistics data. Naturally, arrays are richly described by and intertwined with additional metadata (alphanumeric relational data, XML, JSON, etc). Database systems, however, a fundamental building block of what we call "Big Data", lack adequate support for modelling and expressing these array data/metadata relationships. Array analytics is hence quite primitive or non-existent at all in modern relational DBMS. Recognizing this, we extended SQL with a new SQL/MDA part seamlessly integrating multidimensional array analytics into the standard database query language. We demonstrate the benefits of SQL/MDA with real-world examples executed in ASQLDB, an open-source mediator system based on HSQLDB and rasdaman, that already implements SQL/MDA.

  12. A case for user-generated sensor metadata

    NASA Astrophysics Data System (ADS)

    Nüst, Daniel

    2015-04-01

    Cheap and easy to use sensing technology and new developments in ICT towards a global network of sensors and actuators promise previously unthought of changes for our understanding of the environment. Large professional as well as amateur sensor networks exist, and they are used for specific yet diverse applications across domains such as hydrology, meteorology or early warning systems. However the impact this "abundance of sensors" had so far is somewhat disappointing. There is a gap between (community-driven) sensor networks that could provide very useful data and the users of the data. In our presentation, we argue this is due to a lack of metadata which allows determining the fitness of use of a dataset. Syntactic or semantic interoperability for sensor webs have made great progress and continue to be an active field of research, yet they often are quite complex, which is of course due to the complexity of the problem at hand. But still, we see the most generic information to determine fitness for use is a dataset's provenance, because it allows users to make up their own minds independently from existing classification schemes for data quality. In this work we will make the case how curated user-contributed metadata has the potential to improve this situation. This especially applies for scenarios in which an observed property is applicable in different domains, and for set-ups where the understanding about metadata concepts and (meta-)data quality differs between data provider and user. On the one hand a citizen does not understand the ISO provenance metadata. On the other hand a researcher might find issues in publicly accessible time series published by citizens, which the latter might not be aware of or care about. Because users will have to determine fitness for use for each application on their own anyway, we suggest an online collaboration platform for user-generated metadata based on an extremely simplified data model. In the most basic fashion

  13. The Metadata Cloud: The Last Piece of a Distributed Data System Model

    NASA Astrophysics Data System (ADS)

    King, T. A.; Cecconi, B.; Hughes, J. S.; Walker, R. J.; Roberts, D.; Thieman, J. R.; Joy, S. P.; Mafi, J. N.; Gangloff, M.

    2012-12-01

    Distributed data systems have existed ever since systems were networked together. Over the years the model for distributed data systems have evolved from basic file transfer to client-server to multi-tiered to grid and finally to cloud based systems. Initially metadata was tightly coupled to the data either by embedding the metadata in the same file containing the data or by co-locating the metadata in commonly named files. As the sources of data multiplied, data volumes have increased and services have specialized to improve efficiency; a cloud system model has emerged. In a cloud system computing and storage are provided as services with accessibility emphasized over physical location. Computation and data clouds are common implementations. Effectively using the data and computation capabilities requires metadata. When metadata is stored separately from the data; a metadata cloud is formed. With a metadata cloud information and knowledge about data resources can migrate efficiently from system to system, enabling services and allowing the data to remain efficiently stored until used. This is especially important with "Big Data" where movement of the data is limited by bandwidth. We examine how the metadata cloud completes a general distributed data system model, how standards play a role and relate this to the existing types of cloud computing. We also look at the major science data systems in existence and compare each to the generalized cloud system model.

  14. Metadata requirements for results of diagnostic imaging procedures: a BIIF profile to support user applications

    NASA Astrophysics Data System (ADS)

    Brown, Nicholas J.; Lloyd, David S.; Reynolds, Melvin I.; Plummer, David L.

    2002-05-01

    A visible digital image is rendered from a set of digital image data. Medical digital image data can be stored as either: (a) pre-rendered format, corresponding to a photographic print, or (b) un-rendered format, corresponding to a photographic negative. The appropriate image data storage format and associated header data (metadata) required by a user of the results of a diagnostic procedure recorded electronically depends on the task(s) to be performed. The DICOM standard provides a rich set of metadata that supports the needs of complex applications. Many end user applications, such as simple report text viewing and display of a selected image, are not so demanding and generic image formats such as JPEG are sometimes used. However, these are lacking some basic identification requirements. In this paper we make specific proposals for minimal extensions to generic image metadata of value in various domains, which enable safe use in the case of two simple healthcare end user scenarios: (a) viewing of text and a selected JPEG image activated by a hyperlink and (b) viewing of one or more JPEG images together with superimposed text and graphics annotation using a file specified by a profile of the ISO/IEC Basic Image Interchange Format (BIIF).

  15. Creating Access Points to Instrument-Based Atmospheric Data: Perspectives from the ARM Metadata Manager

    NASA Astrophysics Data System (ADS)

    Troyan, D.

    2016-12-01

    The Atmospheric Radiation Measurement (ARM) program has been collecting data from instruments in diverse climate regions for nearly twenty-five years. These data are made available to all interested parties at no cost via specially designed tools found on the ARM website (www.arm.gov). Metadata is created and applied to the various datastreams to facilitate information retrieval using the ARM website, the ARM Data Discovery Tool, and data quality reporting tools. Over the last year, the Metadata Manager - a relatively new position within the ARM program - created two documents that summarize the state of ARM metadata processes: ARM Metadata Workflow, and ARM Metadata Standards. These documents serve as guides to the creation and management of ARM metadata. With many of ARM's data functions spread around the Department of Energy national laboratory complex and with many of the original architects of the metadata structure no longer working for ARM, there is increased importance on using these documents to resolve issues from data flow bottlenecks and inaccurate metadata to improving data discovery and organizing web pages. This presentation will provide some examples from the workflow and standards documents. The examples will illustrate the complexity of the ARM metadata processes and the efficiency by which the metadata team works towards achieving the goal of providing access to data collected under the auspices of the ARM program.

  16. Finding Atmospheric Composition (AC) Metadata

    NASA Technical Reports Server (NTRS)

    Strub, Richard F..; Falke, Stefan; Fiakowski, Ed; Kempler, Steve; Lynnes, Chris; Goussev, Oleg

    2015-01-01

    The Atmospheric Composition Portal (ACP) is an aggregator and curator of information related to remotely sensed atmospheric composition data and analysis. It uses existing tools and technologies and, where needed, enhances those capabilities to provide interoperable access, tools, and contextual guidance for scientists and value-adding organizations using remotely sensed atmospheric composition data. The initial focus is on Essential Climate Variables identified by the Global Climate Observing System CH4, CO, CO2, NO2, O3, SO2 and aerosols. This poster addresses our efforts in building the ACP Data Table, an interface to help discover and understand remotely sensed data that are related to atmospheric composition science and applications. We harvested GCMD, CWIC, GEOSS metadata catalogs using machine to machine technologies - OpenSearch, Web Services. We also manually investigated the plethora of CEOS data providers portals and other catalogs where that data might be aggregated. This poster is our experience of the excellence, variety, and challenges we encountered.Conclusions:1.The significant benefits that the major catalogs provide are their machine to machine tools like OpenSearch and Web Services rather than any GUI usability improvements due to the large amount of data in their catalog.2.There is a trend at the large catalogs towards simulating small data provider portals through advanced services. 3.Populating metadata catalogs using ISO19115 is too complex for users to do in a consistent way, difficult to parse visually or with XML libraries, and too complex for Java XML binders like CASTOR.4.The ability to search for Ids first and then for data (GCMD and ECHO) is better for machine to machine operations rather than the timeouts experienced when returning the entire metadata entry at once. 5.Metadata harvest and export activities between the major catalogs has led to a significant amount of duplication. (This is currently being addressed) 6.Most (if not all

  17. Separation of metadata and pixel data to speed DICOM tag morphing.

    PubMed

    Ismail, Mahmoud; Philbin, James

    2013-01-01

    The DICOM information model combines pixel data and metadata in single DICOM object. It is not possible to access the metadata separately from the pixel data. There are use cases where only metadata is accessed. The current DICOM object format increases the running time of those use cases. Tag morphing is one of those use cases. Tag morphing includes deletion, insertion or manipulation of one or more of the metadata attributes. It is typically used for order reconciliation on study acquisition or to localize the issuer of patient ID (IPID) and the patient ID attributes when data from one domain is transferred to a different domain. In this work, we propose using Multi-Series DICOM (MSD) objects, which separate metadata from pixel data and remove duplicate attributes, to reduce the time required for Tag Morphing. The time required to update a set of study attributes in each format is compared. The results show that the MSD format significantly reduces the time required for tag morphing.

  18. Mercury- Distributed Metadata Management, Data Discovery and Access System

    NASA Astrophysics Data System (ADS)

    Palanisamy, Giri; Wilson, Bruce E.; Devarakonda, Ranjeet; Green, James M.

    2007-12-01

    Mercury is a federated metadata harvesting, search and retrieval tool based on both open source and ORNL- developed software. It was originally developed for NASA, and the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury supports various metadata standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115 (under development). Mercury provides a single portal to information contained in disparate data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury supports various projects including: ORNL DAAC, NBII, DADDI, LBA, NARSTO, CDIAC, OCEAN, I3N, IAI, ESIP and ARM. The new Mercury system is based on a Service Oriented Architecture and supports various services such as Thesaurus Service, Gazetteer Web Service and UDDI Directory Services. This system also provides various search services including: RSS, Geo-RSS, OpenSearch, Web Services and Portlets. Other features include: Filtering and dynamic sorting of search results, book-markable search results, save, retrieve, and modify search criteria.

  19. Cytometry metadata in XML

    NASA Astrophysics Data System (ADS)

    Leif, Robert C.; Leif, Stephanie H.

    2016-04-01

    Introduction: The International Society for Advancement of Cytometry (ISAC) has created a standard for the Minimum Information about a Flow Cytometry Experiment (MIFlowCyt 1.0). CytometryML will serve as a common metadata standard for flow and image cytometry (digital microscopy). Methods: The MIFlowCyt data-types were created, as is the rest of CytometryML, in the XML Schema Definition Language (XSD1.1). The datatypes are primarily based on the Flow Cytometry and the Digital Imaging and Communication (DICOM) standards. A small section of the code was formatted with standard HTML formatting elements (p, h1, h2, etc.). Results:1) The part of MIFlowCyt that describes the Experimental Overview including the specimen and substantial parts of several other major elements has been implemented as CytometryML XML schemas (www.cytometryml.org). 2) The feasibility of using MIFlowCyt to provide the combination of an overview, table of contents, and/or an index of a scientific paper or a report has been demonstrated. Previously, a sample electronic publication, EPUB, was created that could contain both MIFlowCyt metadata as well as the binary data. Conclusions: The use of CytometryML technology together with XHTML5 and CSS permits the metadata to be directly formatted and together with the binary data to be stored in an EPUB container. This will facilitate: formatting, data- mining, presentation, data verification, and inclusion in structured research, clinical, and regulatory documents, as well as demonstrate a publication's adherence to the MIFlowCyt standard, promote interoperability and should also result in the textual and numeric data being published using web technology without any change in composition.

  20. Scalable PGAS Metadata Management on Extreme Scale Systems

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Chavarría-Miranda, Daniel; Agarwal, Khushbu; Straatsma, TP

    Programming models intended to run on exascale systems have a number of challenges to overcome, specially the sheer size of the system as measured by the number of concurrent software entities created and managed by the underlying runtime. It is clear from the size of these systems that any state maintained by the programming model has to be strictly sub-linear in size, in order not to overwhelm memory usage with pure overhead. A principal feature of Partitioned Global Address Space (PGAS) models is providing easy access to global-view distributed data structures. In order to provide efficient access to these distributedmore » data structures, PGAS models must keep track of metadata such as where array sections are located with respect to processes/threads running on the HPC system. As PGAS models and applications become ubiquitous on very large transpetascale systems, a key component to their performance and scalability will be efficient and judicious use of memory for model overhead (metadata) compared to application data. We present an evaluation of several strategies to manage PGAS metadata that exhibit different space/time tradeoffs. We use two real-world PGAS applications to capture metadata usage patterns and gain insight into their communication behavior.« less

  1. The Risa R/Bioconductor package: integrative data analysis from experimental metadata and back again.

    PubMed

    González-Beltrán, Alejandra; Neumann, Steffen; Maguire, Eamonn; Sansone, Susanna-Assunta; Rocca-Serra, Philippe

    2014-01-01

    The ISA-Tab format and software suite have been developed to break the silo effect induced by technology-specific formats for a variety of data types and to better support experimental metadata tracking. Experimentalists seldom use a single technique to monitor biological signals. Providing a multi-purpose, pragmatic and accessible format that abstracts away common constructs for describing Investigations, Studies and Assays, ISA is increasingly popular. To attract further interest towards the format and extend support to ensure reproducible research and reusable data, we present the Risa package, which delivers a central component to support the ISA format by enabling effortless integration with R, the popular, open source data crunching environment. The Risa package bridges the gap between the metadata collection and curation in an ISA-compliant way and the data analysis using the widely used statistical computing environment R. The package offers functionality for: i) parsing ISA-Tab datasets into R objects, ii) augmenting annotation with extra metadata not explicitly stated in the ISA syntax; iii) interfacing with domain specific R packages iv) suggesting potentially useful R packages available in Bioconductor for subsequent processing of the experimental data described in the ISA format; and finally v) saving back to ISA-Tab files augmented with analysis specific metadata from R. We demonstrate these features by presenting use cases for mass spectrometry data and DNA microarray data. The Risa package is open source (with LGPL license) and freely available through Bioconductor. By making Risa available, we aim to facilitate the task of processing experimental data, encouraging a uniform representation of experimental information and results while delivering tools for ensuring traceability and provenance tracking. The Risa package is available since Bioconductor 2.11 (version 1.0.0) and version 1.2.1 appeared in Bioconductor 2.12, both along with documentation

  2. OSCAR/Surface: Metadata for the WMO Integrated Observing System WIGOS

    NASA Astrophysics Data System (ADS)

    Klausen, Jörg; Pröscholdt, Timo; Mannes, Jürg; Cappelletti, Lucia; Grüter, Estelle; Calpini, Bertrand; Zhang, Wenjian

    2016-04-01

    The World Meteorological Organization (WMO) Integrated Global Observing System (WIGOS) is a key WMO priority underpinning all WMO Programs and new initiatives such as the Global Framework for Climate Services (GFCS). It does this by better integrating WMO and co-sponsored observing systems, as well as partner networks. For this, an important aspect is the description of the observational capabilities by way of structured metadata. The 17th Congress of the Word Meteorological Organization (Cg-17) has endorsed the semantic WIGOS metadata standard (WMDS) developed by the Task Team on WIGOS Metadata (TT-WMD). The standard comprises of a set of metadata classes that are considered to be of critical importance for the interpretation of observations and the evolution of observing systems relevant to WIGOS. The WMDS serves all recognized WMO Application Areas, and its use for all internationally exchanged observational data generated by WMO Members is mandatory. The standard will be introduced in three phases between 2016 and 2020. The Observing Systems Capability Analysis and Review (OSCAR) platform operated by MeteoSwiss on behalf of WMO is the official repository of WIGOS metadata and an implementation of the WMDS. OSCAR/Surface deals with all surface-based observations from land, air and oceans, combining metadata managed by a number of complementary, more domain-specific systems (e.g., GAWSIS for the Global Atmosphere Watch, JCOMMOPS for the marine domain, the WMO Radar database). It is a modern, web-based client-server application with extended information search, filtering and mapping capabilities including a fully developed management console to add and edit observational metadata. In addition, a powerful application programming interface (API) is being developed to allow machine-to-machine metadata exchange. The API is based on an ISO/OGC-compliant XML schema for the WMDS using the Observations and Measurements (ISO19156) conceptual model. The purpose of the

  3. An Application Practice of the IFLA FRBR Model: A Metadata Case Study for the National Palace Museum in Taipei.

    ERIC Educational Resources Information Center

    Chen, Ya-ning; Lin, Simon C.; Chen, Shu-jiun

    2002-01-01

    Explains the Functional Requirements for Bibliographic Records (FRBR) model which was proposed by the International Federation of Library Associations and Institutions (IFLA) as a framework to proceed content-based analysis and developing metadata format. Presents a case study that examines the feasibility of the FRBR model at the National Palace…

  4. Fast processing of digital imaging and communications in medicine (DICOM) metadata using multiseries DICOM format.

    PubMed

    Ismail, Mahmoud; Philbin, James

    2015-04-01

    The digital imaging and communications in medicine (DICOM) information model combines pixel data and its metadata in a single object. There are user scenarios that only need metadata manipulation, such as deidentification and study migration. Most picture archiving and communication system use a database to store and update the metadata rather than updating the raw DICOM files themselves. The multiseries DICOM (MSD) format separates metadata from pixel data and eliminates duplicate attributes. This work promotes storing DICOM studies in MSD format to reduce the metadata processing time. A set of experiments are performed that update the metadata of a set of DICOM studies for deidentification and migration. The studies are stored in both the traditional single frame DICOM (SFD) format and the MSD format. The results show that it is faster to update studies' metadata in MSD format than in SFD format because the bulk data is separated in MSD and is not retrieved from the storage system. In addition, it is space efficient to store the deidentified studies in MSD format as it shares the same bulk data object with the original study. In summary, separation of metadata from pixel data using the MSD format provides fast metadata access and speeds up applications that process only the metadata.

  5. ISO, FGDC, DIF and Dublin Core - Making Sense of Metadata Standards for Earth Science Data

    NASA Astrophysics Data System (ADS)

    Jones, P. R.; Ritchey, N. A.; Peng, G.; Toner, V. A.; Brown, H.

    2014-12-01

    Metadata standards provide common definitions of metadata fields for information exchange across user communities. Despite the broad adoption of metadata standards for Earth science data, there are still heterogeneous and incompatible representations of information due to differences between the many standards in use and how each standard is applied. Federal agencies are required to manage and publish metadata in different metadata standards and formats for various data catalogs. In 2014, the NOAA National Climatic data Center (NCDC) managed metadata for its scientific datasets in ISO 19115-2 in XML, GCMD Directory Interchange Format (DIF) in XML, DataCite Schema in XML, Dublin Core in XML, and Data Catalog Vocabulary (DCAT) in JSON, with more standards and profiles of standards planned. Of these standards, the ISO 19115-series metadata is the most complete and feature-rich, and for this reason it is used by NCDC as the source for the other metadata standards. We will discuss the capabilities of metadata standards and how these standards are being implemented to document datasets. Successful implementations include developing translations and displays using XSLTs, creating links to related data and resources, documenting dataset lineage, and establishing best practices. Benefits, gaps, and challenges will be highlighted with suggestions for improved approaches to metadata storage and maintenance.

  6. The Use of Metadata Visualisation Assist Information Retrieval

    DTIC Science & Technology

    2007-10-01

    album title, the track length and the genre of music . Again, any of these pieces of information can be used to quickly search and locate specific...that person. Music files also have metadata tags, in a format called ID3. This usually contains information such as the artist, the song title, the...tracks, to provide more information about the entire music collection, or to find similar or diverse tracks within the collection. Metadata is

  7. Establishing semantic interoperability of biomedical metadata registries using extended semantic relationships.

    PubMed

    Park, Yu Rang; Yoon, Young Jo; Kim, Hye Hyeon; Kim, Ju Han

    2013-01-01

    Achieving semantic interoperability is critical for biomedical data sharing between individuals, organizations and systems. The ISO/IEC 11179 MetaData Registry (MDR) standard has been recognized as one of the solutions for this purpose. The standard model, however, is limited. Representing concepts consist of two or more values, for instance, are not allowed including blood pressure with systolic and diastolic values. We addressed the structural limitations of ISO/IEC 11179 by an integrated metadata object model in our previous research. In the present study, we introduce semantic extensions for the model by defining three new types of semantic relationships; dependency, composite and variable relationships. To evaluate our extensions in a real world setting, we measured the efficiency of metadata reduction by means of mapping to existing others. We extracted metadata from the College of American Pathologist Cancer Protocols and then evaluated our extensions. With no semantic loss, one third of the extracted metadata could be successfully eliminated, suggesting better strategy for implementing clinical MDRs with improved efficiency and utility.

  8. Design and implementation of a fault-tolerant and dynamic metadata database for clinical trials

    NASA Astrophysics Data System (ADS)

    Lee, J.; Zhou, Z.; Talini, E.; Documet, J.; Liu, B.

    2007-03-01

    In recent imaging-based clinical trials, quantitative image analysis (QIA) and computer-aided diagnosis (CAD) methods are increasing in productivity due to higher resolution imaging capabilities. A radiology core doing clinical trials have been analyzing more treatment methods and there is a growing quantity of metadata that need to be stored and managed. These radiology centers are also collaborating with many off-site imaging field sites and need a way to communicate metadata between one another in a secure infrastructure. Our solution is to implement a data storage grid with a fault-tolerant and dynamic metadata database design to unify metadata from different clinical trial experiments and field sites. Although metadata from images follow the DICOM standard, clinical trials also produce metadata specific to regions-of-interest and quantitative image analysis. We have implemented a data access and integration (DAI) server layer where multiple field sites can access multiple metadata databases in the data grid through a single web-based grid service. The centralization of metadata database management simplifies the task of adding new databases into the grid and also decreases the risk of configuration errors seen in peer-to-peer grids. In this paper, we address the design and implementation of a data grid metadata storage that has fault-tolerance and dynamic integration for imaging-based clinical trials.

  9. Recipes for Semantic Web Dog Food — The ESWC and ISWC Metadata Projects

    NASA Astrophysics Data System (ADS)

    Möller, Knud; Heath, Tom; Handschuh, Siegfried; Domingue, John

    Semantic Web conferences such as ESWC and ISWC offer prime opportunities to test and showcase semantic technologies. Conference metadata about people, papers and talks is diverse in nature and neither too small to be uninteresting or too big to be unmanageable. Many metadata-related challenges that may arise in the Semantic Web at large are also present here. Metadata must be generated from sources which are often unstructured and hard to process, and may originate from many different players, therefore suitable workflows must be established. Moreover, the generated metadata must use appropriate formats and vocabularies, and be served in a way that is consistent with the principles of linked data. This paper reports on the metadata efforts from ESWC and ISWC, identifies specific issues and barriers encountered during the projects, and discusses how these were approached. Recommendations are made as to how these may be addressed in the future, and we discuss how these solutions may generalize to metadata production for the Semantic Web at large.

  10. Metadata to Describe Genomic Information.

    PubMed

    Delgado, Jaime; Naro, Daniel; Llorente, Silvia; Gelpí, Josep Lluís; Royo, Romina

    2018-01-01

    Interoperable metadata is key for the management of genomic information. We propose a flexible approach that we contribute to the standardization by ISO/IEC of a new format for efficient and secure compressed storage and transmission of genomic information.

  11. Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras.

    PubMed

    Jung, Jaehoon; Yoon, Inhye; Lee, Seungwon; Paik, Joonki

    2016-06-24

    Since it is impossible for surveillance personnel to keep monitoring videos from a multiple camera-based surveillance system, an efficient technique is needed to help recognize important situations by retrieving the metadata of an object-of-interest. In a multiple camera-based surveillance system, an object detected in a camera has a different shape in another camera, which is a critical issue of wide-range, real-time surveillance systems. In order to address the problem, this paper presents an object retrieval method by extracting the normalized metadata of an object-of-interest from multiple, heterogeneous cameras. The proposed metadata generation algorithm consists of three steps: (i) generation of a three-dimensional (3D) human model; (ii) human object-based automatic scene calibration; and (iii) metadata generation. More specifically, an appropriately-generated 3D human model provides the foot-to-head direction information that is used as the input of the automatic calibration of each camera. The normalized object information is used to retrieve an object-of-interest in a wide-range, multiple-camera surveillance system in the form of metadata. Experimental results show that the 3D human model matches the ground truth, and automatic calibration-based normalization of metadata enables a successful retrieval and tracking of a human object in the multiple-camera video surveillance system.

  12. Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras

    PubMed Central

    Jung, Jaehoon; Yoon, Inhye; Lee, Seungwon; Paik, Joonki

    2016-01-01

    Since it is impossible for surveillance personnel to keep monitoring videos from a multiple camera-based surveillance system, an efficient technique is needed to help recognize important situations by retrieving the metadata of an object-of-interest. In a multiple camera-based surveillance system, an object detected in a camera has a different shape in another camera, which is a critical issue of wide-range, real-time surveillance systems. In order to address the problem, this paper presents an object retrieval method by extracting the normalized metadata of an object-of-interest from multiple, heterogeneous cameras. The proposed metadata generation algorithm consists of three steps: (i) generation of a three-dimensional (3D) human model; (ii) human object-based automatic scene calibration; and (iii) metadata generation. More specifically, an appropriately-generated 3D human model provides the foot-to-head direction information that is used as the input of the automatic calibration of each camera. The normalized object information is used to retrieve an object-of-interest in a wide-range, multiple-camera surveillance system in the form of metadata. Experimental results show that the 3D human model matches the ground truth, and automatic calibration-based normalization of metadata enables a successful retrieval and tracking of a human object in the multiple-camera video surveillance system. PMID:27347961

  13. Sensor metadata blueprints and computer-aided editing for disciplined SensorML

    NASA Astrophysics Data System (ADS)

    Tagliolato, Paolo; Oggioni, Alessandro; Fugazza, Cristiano; Pepe, Monica; Carrara, Paola

    2016-04-01

    The need for continuous, accurate, and comprehensive environmental knowledge has led to an increase in sensor observation systems and networks. The Sensor Web Enablement (SWE) initiative has been promoted by the Open Geospatial Consortium (OGC) to foster interoperability among sensor systems. The provision of metadata according to the prescribed SensorML schema is a key component for achieving this and nevertheless availability of correct and exhaustive metadata cannot be taken for granted. On the one hand, it is awkward for users to provide sensor metadata because of the lack in user-oriented, dedicated tools. On the other, the specification of invariant information for a given sensor category or model (e.g., observed properties and units of measurement, manufacturer information, etc.), can be labor- and timeconsuming. Moreover, the provision of these details is error prone and subjective, i.e., may differ greatly across distinct descriptions for the same system. We provide a user-friendly, template-driven metadata authoring tool composed of a backend web service and an HTML5/javascript client. This results in a form-based user interface that conceals the high complexity of the underlying format. This tool also allows for plugging in external data sources providing authoritative definitions for the aforementioned invariant information. Leveraging these functionalities, we compiled a set of SensorML profiles, that is, sensor metadata blueprints allowing end users to focus only on the metadata items that are related to their specific deployment. The natural extension of this scenario is the involvement of end users and sensor manufacturers in the crowd-sourced evolution of this collection of prototypes. We describe the components and workflow of our framework for computer-aided management of sensor metadata.

  14. Quality Assurance for Digital Learning Object Repositories: Issues for the Metadata Creation Process

    ERIC Educational Resources Information Center

    Currier, Sarah; Barton, Jane; O'Beirne, Ronan; Ryan, Ben

    2004-01-01

    Metadata enables users to find the resources they require, therefore it is an important component of any digital learning object repository. Much work has already been done within the learning technology community to assure metadata quality, focused on the development of metadata standards, specifications and vocabularies and their implementation…

  15. Shared Geospatial Metadata Repository for Ontario University Libraries: Collaborative Approaches

    ERIC Educational Resources Information Center

    Forward, Erin; Leahey, Amber; Trimble, Leanne

    2015-01-01

    Successfully providing access to special collections of digital geospatial data in academic libraries relies upon complete and accurate metadata. Creating and maintaining metadata using specialized standards is a formidable challenge for libraries. The Ontario Council of University Libraries' Scholars GeoPortal project, which created a shared…

  16. A statistical metadata model for clinical trials' data management.

    PubMed

    Vardaki, Maria; Papageorgiou, Haralambos; Pentaris, Fragkiskos

    2009-08-01

    We introduce a statistical, process-oriented metadata model to describe the process of medical research data collection, management, results analysis and dissemination. Our approach explicitly provides a structure for pieces of information used in Clinical Study Data Management Systems, enabling a more active role for any associated metadata. Using the object-oriented paradigm, we describe the classes of our model that participate during the design of a clinical trial and the subsequent collection and management of the relevant data. The advantage of our approach is that we focus on presenting the structural inter-relation of these classes when used during datasets manipulation by proposing certain transformations that model the simultaneous processing of both data and metadata. Our solution reduces the possibility of human errors and allows for the tracking of all changes made during datasets lifecycle. The explicit modeling of processing steps improves data quality and assists in the problem of handling data collected in different clinical trials. The case study illustrates the applicability of the proposed framework demonstrating conceptually the simultaneous handling of datasets collected during two randomized clinical studies. Finally, we provide the main considerations for implementing the proposed framework into a modern Metadata-enabled Information System.

  17. To Teach or Not to Teach: The Ethics of Metadata

    ERIC Educational Resources Information Center

    Barnes, Cynthia; Cavaliere, Frank

    2009-01-01

    Metadata is information about computer-generated documents that is often inadvertently transmitted to others. The problems associated with metadata have become more acute over time as word processing and other popular programs have become more receptive to the concept of collaboration. As more people become involved in the preparation of…

  18. Using URIs to effectively transmit sensor data and metadata

    NASA Astrophysics Data System (ADS)

    Kokkinaki, Alexandra; Buck, Justin; Darroch, Louise; Gardner, Thomas

    2017-04-01

    Autonomous ocean observation is massively increasing the number of sensors in the ocean. Accordingly, the continuing increase in datasets produced, makes selecting sensors that are fit for purpose a growing challenge. Decision making on selecting quality sensor data, is based on the sensor's metadata, i.e. manufacturer specifications, history of calibrations etc. The Open Geospatial Consortium (OGC) has developed the Sensor Web Enablement (SWE) standards to facilitate integration and interoperability of sensor data and metadata. The World Wide Web Consortium (W3C) Semantic Web technologies enable machine comprehensibility promoting sophisticated linking and processing of data published on the web. Linking the sensor's data and metadata according to the above-mentioned standards can yield practical difficulties, because of internal hardware bandwidth restrictions and a requirement to constrain data transmission costs. Our approach addresses these practical difficulties by uniquely identifying sensor and platform models and instances through URIs, which resolve via content negotiation to either OGC's sensor meta language, sensorML or W3C's Linked Data. Data transmitted by a sensor incorporate the sensor's unique URI to refer to its metadata. Sensor and platform model URIs and descriptions are created and hosted by the British Oceanographic Data Centre (BODC) linked systems service. The sensor owner creates the sensor and platform instance URIs prior and during sensor deployment, through an updatable web form, the Sensor Instance Form (SIF). SIF enables model and instance URI association but also platform and sensor linking. The use of URIs, which are dynamically generated through the SIF, offers both practical and economical benefits to the implementation of SWE and Linked Data standards in near real time systems. Data can be linked to metadata dynamically in-situ while saving on the costs associated to the transmission of long metadata descriptions. The transmission

  19. Inferring Metadata for a Semantic Web Peer-to-Peer Environment

    ERIC Educational Resources Information Center

    Brase, Jan; Painter, Mark

    2004-01-01

    Learning Objects Metadata (LOM) aims at describing educational resources in order to allow better reusability and retrieval. In this article we show how additional inference rules allows us to derive additional metadata from existing ones. Additionally, using these rules as integrity constraints helps us to define the constraints on LOM elements,…

  20. Ontology-Based Search of Genomic Metadata.

    PubMed

    Fernandez, Javier D; Lenzerini, Maurizio; Masseroli, Marco; Venco, Francesco; Ceri, Stefano

    2016-01-01

    The Encyclopedia of DNA Elements (ENCODE) is a huge and still expanding public repository of more than 4,000 experiments and 25,000 data files, assembled by a large international consortium since 2007; unknown biological knowledge can be extracted from these huge and largely unexplored data, leading to data-driven genomic, transcriptomic, and epigenomic discoveries. Yet, search of relevant datasets for knowledge discovery is limitedly supported: metadata describing ENCODE datasets are quite simple and incomplete, and not described by a coherent underlying ontology. Here, we show how to overcome this limitation, by adopting an ENCODE metadata searching approach which uses high-quality ontological knowledge and state-of-the-art indexing technologies. Specifically, we developed S.O.S. GeM (http://www.bioinformatics.deib.polimi.it/SOSGeM/), a system supporting effective semantic search and retrieval of ENCODE datasets. First, we constructed a Semantic Knowledge Base by starting with concepts extracted from ENCODE metadata, matched to and expanded on biomedical ontologies integrated in the well-established Unified Medical Language System. We prove that this inference method is sound and complete. Then, we leveraged the Semantic Knowledge Base to semantically search ENCODE data from arbitrary biologists' queries. This allows correctly finding more datasets than those extracted by a purely syntactic search, as supported by the other available systems. We empirically show the relevance of found datasets to the biologists' queries.

  1. Using RDF and Git to Realize a Collaborative Metadata Repository.

    PubMed

    Stöhr, Mark R; Majeed, Raphael W; Günther, Andreas

    2018-01-01

    The German Center for Lung Research (DZL) is a research network with the aim of researching respiratory diseases. The participating study sites' register data differs in terms of software and coding system as well as data field coverage. To perform meaningful consortium-wide queries through one single interface, a uniform conceptual structure is required covering the DZL common data elements. No single existing terminology includes all our concepts. Potential candidates such as LOINC and SNOMED only cover specific subject areas or are not granular enough for our needs. To achieve a broadly accepted and complete ontology, we developed a platform for collaborative metadata management. The DZL data management group formulated detailed requirements regarding the metadata repository and the user interfaces for metadata editing. Our solution builds upon existing standard technologies allowing us to meet those requirements. Its key parts are RDF and the distributed version control system Git. We developed a software system to publish updated metadata automatically and immediately after performing validation tests for completeness and consistency.

  2. OpenFlow arbitrated programmable network channels for managing quantum metadata

    DOE PAGES

    Dasari, Venkat R.; Humble, Travis S.

    2016-10-10

    Quantum networks must classically exchange complex metadata between devices in order to carry out information for protocols such as teleportation, super-dense coding, and quantum key distribution. Demonstrating the integration of these new communication methods with existing network protocols, channels, and data forwarding mechanisms remains an open challenge. Software-defined networking (SDN) offers robust and flexible strategies for managing diverse network devices and uses. We adapt the principles of SDN to the deployment of quantum networks, which are composed from unique devices that operate according to the laws of quantum mechanics. We show how quantum metadata can be managed within a software-definedmore » network using the OpenFlow protocol, and we describe how OpenFlow management of classical optical channels is compatible with emerging quantum communication protocols. We next give an example specification of the metadata needed to manage and control quantum physical layer (QPHY) behavior and we extend the OpenFlow interface to accommodate this quantum metadata. Here, we conclude by discussing near-term experimental efforts that can realize SDN’s principles for quantum communication.« less

  3. OpenFlow arbitrated programmable network channels for managing quantum metadata

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Dasari, Venkat R.; Humble, Travis S.

    Quantum networks must classically exchange complex metadata between devices in order to carry out information for protocols such as teleportation, super-dense coding, and quantum key distribution. Demonstrating the integration of these new communication methods with existing network protocols, channels, and data forwarding mechanisms remains an open challenge. Software-defined networking (SDN) offers robust and flexible strategies for managing diverse network devices and uses. We adapt the principles of SDN to the deployment of quantum networks, which are composed from unique devices that operate according to the laws of quantum mechanics. We show how quantum metadata can be managed within a software-definedmore » network using the OpenFlow protocol, and we describe how OpenFlow management of classical optical channels is compatible with emerging quantum communication protocols. We next give an example specification of the metadata needed to manage and control quantum physical layer (QPHY) behavior and we extend the OpenFlow interface to accommodate this quantum metadata. Here, we conclude by discussing near-term experimental efforts that can realize SDN’s principles for quantum communication.« less

  4. Describing environmental public health data: implementing a descriptive metadata standard on the environmental public health tracking network.

    PubMed

    Patridge, Jeff; Namulanda, Gonza

    2008-01-01

    The Environmental Public Health Tracking (EPHT) Network provides an opportunity to bring together diverse environmental and health effects data by integrating}?> local, state, and national databases of environmental hazards, environmental exposures, and health effects. To help users locate data on the EPHT Network, the network will utilize descriptive metadata that provide critical information as to the purpose, location, content, and source of these data. Since 2003, the Centers for Disease Control and Prevention's EPHT Metadata Subgroup has been working to initiate the creation and use of descriptive metadata. Efforts undertaken by the group include the adoption of a metadata standard, creation of an EPHT-specific metadata profile, development of an open-source metadata creation tool, and promotion of the creation of descriptive metadata by changing the perception of metadata in the public health culture.

  5. Extraction of CT dose information from DICOM metadata: automated Matlab-based approach.

    PubMed

    Dave, Jaydev K; Gingold, Eric L

    2013-01-01

    The purpose of this study was to extract exposure parameters and dose-relevant indexes of CT examinations from information embedded in DICOM metadata. DICOM dose report files were identified and retrieved from a PACS. An automated software program was used to extract from these files information from the structured elements in the DICOM metadata relevant to exposure. Extracting information from DICOM metadata eliminated potential errors inherent in techniques based on optical character recognition, yielding 100% accuracy.

  6. The Value of Data and Metadata Standardization for Interoperability in Giovanni Or: Why Your Product's Metadata Causes Us Headaches!

    NASA Technical Reports Server (NTRS)

    Smit, Christine; Hegde, Mahabaleshwara; Strub, Richard; Bryant, Keith; Li, Angela; Petrenko, Maksym

    2017-01-01

    Giovanni is a data exploration and visualization tool at the NASA Goddard Earth Sciences Data Information Services Center (GES DISC). It has been around in one form or another for more than 15 years. Giovanni calculates simple statistics and produces 22 different visualizations for more than 1600 geophysical parameters from more than 90 satellite and model products. Giovanni relies on external data format standards to ensure interoperability, including the NetCDF CF Metadata Conventions. Unfortunately, these standards were insufficient to make Giovanni's internal data representation truly simple to use. Finding and working with dimensions can be convoluted with the CF Conventions. Furthermore, the CF Conventions are silent on machine-friendly descriptive metadata such as the parameter's source product and product version. In order to simplify analyzing disparate earth science data parameters in a unified way, we developed Giovanni's internal standard. First, the format standardizes parameter dimensions and variables so they can be easily found. Second, the format adds all the machine-friendly metadata Giovanni needs to present our parameters to users in a consistent and clear manner. At a glance, users can grasp all the pertinent information about parameters both during parameter selection and after visualization.

  7. MMI's Metadata and Vocabulary Solutions: 10 Years and Growing

    NASA Astrophysics Data System (ADS)

    Graybeal, J.; Gayanilo, F.; Rueda-Velasquez, C. A.

    2014-12-01

    The Marine Metadata Interoperability project (http://marinemetadata.org) held its public opening at AGU's 2004 Fall Meeting. For 10 years since that debut, the MMI guidance and vocabulary sites have served over 100,000 visitors, with 525 community members and continuous Steering Committee leadership. Originally funded by the National Science Foundation, over the years multiple organizations have supported the MMI mission: "Our goal is to support collaborative research in the marine science domain, by simplifying the incredibly complex world of metadata into specific, straightforward guidance. MMI encourages scientists and data managers at all levels to apply good metadata practices from the start of a project, by providing the best guidance and resources for data management, and developing advanced metadata tools and services needed by the community." Now hosted by the Harte Research Institute at Texas A&M University at Corpus Christi, MMI continues to provide guidance and services to the community, and is planning for marine science and technology needs for the next 10 years. In this presentation we will highlight our major accomplishments, describe our recent achievements and imminent goals, and propose a vision for improving marine data interoperability for the next 10 years, including Ontology Registry and Repository (http://mmisw.org/orr) advancements and applications (http://mmisw.org/cfsn).

  8. Advancements in Large-Scale Data/Metadata Management for Scientific Data.

    NASA Astrophysics Data System (ADS)

    Guntupally, K.; Devarakonda, R.; Palanisamy, G.; Frame, M. T.

    2017-12-01

    Scientific data often comes with complex and diverse metadata which are critical for data discovery and users. The Online Metadata Editor (OME) tool, which was developed by an Oak Ridge National Laboratory team, effectively manages diverse scientific datasets across several federal data centers, such as DOE's Atmospheric Radiation Measurement (ARM) Data Center and USGS's Core Science Analytics, Synthesis, and Libraries (CSAS&L) project. This presentation will focus mainly on recent developments and future strategies for refining OME tool within these centers. The ARM OME is a standard based tool (https://www.archive.arm.gov/armome) that allows scientists to create and maintain metadata about their data products. The tool has been improved with new workflows that help metadata coordinators and submitting investigators to submit and review their data more efficiently. The ARM Data Center's newly upgraded Data Discovery Tool (http://www.archive.arm.gov/discovery) uses rich metadata generated by the OME to enable search and discovery of thousands of datasets, while also providing a citation generator and modern order-delivery techniques like Globus (using GridFTP), Dropbox and THREDDS. The Data Discovery Tool also supports incremental indexing, which allows users to find new data as and when they are added. The USGS CSAS&L search catalog employs a custom version of the OME (https://www1.usgs.gov/csas/ome), which has been upgraded with high-level Federal Geographic Data Committee (FGDC) validations and the ability to reserve and mint Digital Object Identifiers (DOIs). The USGS's Science Data Catalog (SDC) (https://data.usgs.gov/datacatalog) allows users to discover a myriad of science data holdings through a web portal. Recent major upgrades to the SDC and ARM Data Discovery Tool include improved harvesting performance and migration using new search software, such as Apache Solr 6.0 for serving up data/metadata to scientific communities. Our presentation will highlight

  9. Pathogen metadata platform: software for accessing and analyzing pathogen strain information.

    PubMed

    Chang, Wenling E; Peterson, Matthew W; Garay, Christopher D; Korves, Tonia

    2016-09-15

    Pathogen metadata includes information about where and when a pathogen was collected and the type of environment it came from. Along with genomic nucleotide sequence data, this metadata is growing rapidly and becoming a valuable resource not only for research but for biosurveillance and public health. However, current freely available tools for analyzing this data are geared towards bioinformaticians and/or do not provide summaries and visualizations needed to readily interpret results. We designed a platform to easily access and summarize data about pathogen samples. The software includes a PostgreSQL database that captures metadata useful for disease outbreak investigations, and scripts for downloading and parsing data from NCBI BioSample and BioProject into the database. The software provides a user interface to query metadata and obtain standardized results in an exportable, tab-delimited format. To visually summarize results, the user interface provides a 2D histogram for user-selected metadata types and mapping of geolocated entries. The software is built on the LabKey data platform, an open-source data management platform, which enables developers to add functionalities. We demonstrate the use of the software in querying for a pathogen serovar and for genome sequence identifiers. This software enables users to create a local database for pathogen metadata, populate it with data from NCBI, easily query the data, and obtain visual summaries. Some of the components, such as the database, are modular and can be incorporated into other data platforms. The source code is freely available for download at https://github.com/wchangmitre/bioattribution .

  10. Social tagging in the life sciences: characterizing a new metadata resource for bioinformatics.

    PubMed

    Good, Benjamin M; Tennis, Joseph T; Wilkinson, Mark D

    2009-09-25

    Academic social tagging systems, such as Connotea and CiteULike, provide researchers with a means to organize personal collections of online references with keywords (tags) and to share these collections with others. One of the side-effects of the operation of these systems is the generation of large, publicly accessible metadata repositories describing the resources in the collections. In light of the well-known expansion of information in the life sciences and the need for metadata to enhance its value, these repositories present a potentially valuable new resource for application developers. Here we characterize the current contents of two scientifically relevant metadata repositories created through social tagging. This investigation helps to establish how such socially constructed metadata might be used as it stands currently and to suggest ways that new social tagging systems might be designed that would yield better aggregate products. We assessed the metadata that users of CiteULike and Connotea associated with citations in PubMed with the following metrics: coverage of the document space, density of metadata (tags) per document, rates of inter-annotator agreement, and rates of agreement with MeSH indexing. CiteULike and Connotea were very similar on all of the measurements. In comparison to PubMed, document coverage and per-document metadata density were much lower for the social tagging systems. Inter-annotator agreement within the social tagging systems and the agreement between the aggregated social tagging metadata and MeSH indexing was low though the latter could be increased through voting. The most promising uses of metadata from current academic social tagging repositories will be those that find ways to utilize the novel relationships between users, tags, and documents exposed through these systems. For more traditional kinds of indexing-based applications (such as keyword-based search) to benefit substantially from socially generated metadata in

  11. Towards a semantic medical Web: HealthCyberMap's tool for building an RDF metadata base of health information resources based on the Qualified Dublin Core Metadata Set.

    PubMed

    Boulos, Maged N; Roudsari, Abdul V; Carson, Ewart R

    2002-07-01

    HealthCyberMap (http://healthcybermap.semanticweb.org/) aims at mapping Internet health information resources in novel ways for enhanced retrieval and navigation. This is achieved by collecting appropriate resource metadata in an unambiguous form that preserves semantics. We modelled a qualified Dublin Core (DC) metadata set ontology with extra elements for resource quality and geographical provenance in Prot g -2000. A metadata collection form helps acquiring resource instance data within Prot g . The DC subject field is populated with UMLS terms directly imported from UMLS Knowledge Source Server using UMLS tab, a Prot g -2000 plug-in. The project is saved in RDFS/RDF. The ontology and associated form serve as a free tool for building and maintaining an RDF medical resource metadata base. The UMLS tab enables browsing and searching for concepts that best describe a resource, and importing them to DC subject fields. The resultant metadata base can be used with a search and inference engine, and have textual and/or visual navigation interface(s) applied to it, to ultimately build a medical Semantic Web portal. Different ways of exploiting Prot g -2000 RDF output are discussed. By making the context and semantics of resources, not merely their raw text and formatting, amenable to computer 'understanding,' we can build a Semantic Web that is more useful to humans than the current Web. This requires proper use of metadata and ontologies. Clinical codes can reliably describe the subjects of medical resources, establish the semantic relationships (as defined by underlying coding scheme) between related resources, and automate their topical categorisation.

  12. Serious Games for Health: The Potential of Metadata.

    PubMed

    Göbel, Stefan; Maddison, Ralph

    2017-02-01

    Numerous serious games and health games exist, either as commercial products (typically with a focus on entertaining a broad user group) or smaller games and game prototypes, often resulting from research projects (typically tailored to a smaller user group with a specific health characteristic). A major drawback of existing health games is that they are not very well described and attributed with (machine-readable, quantitative, and qualitative) metadata such as the characterizing goal of the game, the target user group, or expected health effects well proven in scientific studies. This makes it difficult or even impossible for end users to find and select the most appropriate game for a specific situation (e.g., health needs). Therefore, the aim of this article was to motivate the need and potential/benefit of metadata for the description and retrieval of health games and to describe a descriptive model for the qualitative description of games for health. It was not the aim of the article to describe a stable, running system (portal) for health games. This will be addressed in future work. Building on previous work toward a metadata format for serious games, a descriptive model for the formal description of games for health is introduced. For the conceptualization of this model, classification schemata of different existing health game repositories are considered. The classification schema consists of three levels: a core set of mandatory descriptive fields relevant for all games for health application areas, a detailed level with more comprehensive, optional information about the games, and so-called extension as level three with specific descriptive elements relevant for dedicated health games application areas, for example, cardio training. A metadata format provides a technical framework to describe, find, and select appropriate health games matching the needs of the end user. Future steps to improve, apply, and promote the metadata format in the health games

  13. The Risa R/Bioconductor package: integrative data analysis from experimental metadata and back again

    PubMed Central

    2014-01-01

    Background The ISA-Tab format and software suite have been developed to break the silo effect induced by technology-specific formats for a variety of data types and to better support experimental metadata tracking. Experimentalists seldom use a single technique to monitor biological signals. Providing a multi-purpose, pragmatic and accessible format that abstracts away common constructs for describing Investigations, Studies and Assays, ISA is increasingly popular. To attract further interest towards the format and extend support to ensure reproducible research and reusable data, we present the Risa package, which delivers a central component to support the ISA format by enabling effortless integration with R, the popular, open source data crunching environment. Results The Risa package bridges the gap between the metadata collection and curation in an ISA-compliant way and the data analysis using the widely used statistical computing environment R. The package offers functionality for: i) parsing ISA-Tab datasets into R objects, ii) augmenting annotation with extra metadata not explicitly stated in the ISA syntax; iii) interfacing with domain specific R packages iv) suggesting potentially useful R packages available in Bioconductor for subsequent processing of the experimental data described in the ISA format; and finally v) saving back to ISA-Tab files augmented with analysis specific metadata from R. We demonstrate these features by presenting use cases for mass spectrometry data and DNA microarray data. Conclusions The Risa package is open source (with LGPL license) and freely available through Bioconductor. By making Risa available, we aim to facilitate the task of processing experimental data, encouraging a uniform representation of experimental information and results while delivering tools for ensuring traceability and provenance tracking. Software availability The Risa package is available since Bioconductor 2.11 (version 1.0.0) and version 1.2.1 appeared

  14. Improving Earth Science Metadata: Modernizing ncISO

    NASA Astrophysics Data System (ADS)

    O'Brien, K.; Schweitzer, R.; Neufeld, D.; Burger, E. F.; Signell, R. P.; Arms, S. C.; Wilcox, K.

    2016-12-01

    ncISO is a package of tools developed at NOAA's National Center for Environmental Information (NCEI) that facilitates the generation of ISO 19115-2 metadata from NetCDF data sources. The tool currently exists in two iterations: a command line utility and a web-accessible service within the THREDDS Data Server (TDS). Several projects, including NOAA's Unified Access Framework (UAF), depend upon ncISO to generate the ISO-compliant metadata from their data holdings and use the resulting information to populate discovery tools such as NCEI's ESRI Geoportal and NOAA's data.noaa.gov CKAN system. In addition to generating ISO 19115-2 metadata, the tool calculates a rubric score based on how well the dataset follows the Attribute Conventions for Dataset Discovery (ACDD). The result of this rubric calculation, along with information about what has been included and what is missing is displayed in an HTML document generated by the ncISO software package. Recently ncISO has fallen behind in terms of supporting updates to conventions such updates to the ACDD. With the blessing of the original programmer, NOAA's UAF has been working to modernize the ncISO software base. In addition to upgrading ncISO to utilize version1.3 of the ACDD, we have been working with partners at Unidata and IOOS to unify the tool's code base. In essence, we are merging the command line capabilities into the same software that will now be used by the TDS service, allowing easier updates when conventions such as ACDD are updated in the future. In this presentation, we will discuss the work the UAF project has done to support updated conventions within ncISO, as well as describe how the updated tool is helping to improve metadata throughout the earth and ocean sciences.

  15. Solutions for extracting file level spatial metadata from airborne mission data

    NASA Astrophysics Data System (ADS)

    Schwab, M. J.; Stanley, M.; Pals, J.; Brodzik, M.; Fowler, C.; Icebridge Engineering/Spatial Metadata

    2011-12-01

    Authors: Michael Stanley Mark Schwab Jon Pals Mary J. Brodzik Cathy Fowler Collaboration: Raytheon EED and NSIDC Raytheon / EED 5700 Rivertech Court Riverdale, MD 20737 NSIDC University of Colorado UCB 449 Boulder, CO 80309-0449 Data sets acquired from satellites and aircraft may differ in many ways. We will focus on the differences in spatial coverage between the two platforms. Satellite data sets over a given period typically cover large geographic regions. These data are collected in a consistent, predictable and well understood manner due to the uniformity of satellite orbits. Since satellite data collection paths are typically smooth and uniform the data from satellite instruments can usually be described with simple spatial metadata. Subsequently, these spatial metadata can be stored and searched easily and efficiently. Conversely, aircraft have significantly more freedom to change paths, circle, overlap, and vary altitude all of which add complexity to the spatial metadata. Aircraft are also subject to wind and other elements that result in even more complicated and unpredictable spatial coverage areas. This unpredictability and complexity makes it more difficult to extract usable spatial metadata from data sets collected on aircraft missions. It is not feasible to use all of the location data from aircraft mission data sets for use as spatial metadata. The number of data points in typical data sets poses serious performance problems for spatial searching. In order to provide efficient spatial searching of the large number of files cataloged in our systems, we need to extract approximate spatial descriptions as geo-polygons from a small number of vertices (fewer than two hundred). We present some of the challenges and solutions for creating airborne mission-derived spatial metadata. We are implementing these methods to create the spatial metadata for insertion of IceBridge mission data into ECS for public access through NSIDC and ECHO but, they are

  16. CruiseViewer: SIOExplorer Graphical Interface to Metadata and Archives.

    NASA Astrophysics Data System (ADS)

    Sutton, D. W.; Helly, J. J.; Miller, S. P.; Chase, A.; Clark, D.

    2002-12-01

    We are introducing "CruiseViewer" as a prototype graphical interface for the SIOExplorer digital library project, part of the overall NSF National Science Digital Library (NSDL) effort. When complete, CruiseViewer will provide access to nearly 800 cruises, as well as 100 years of documents and images from the archives of the Scripps Institution of Oceanography (SIO). The project emphasizes data object accessibility, a rich metadata format, efficient uploading methods and interoperability with other digital libraries. The primary function of CruiseViewer is to provide a human interface to the metadata database and to storage systems filled with archival data. The system schema is based on the concept of an "arbitrary digital object" (ADO). Arbitrary in that if the object can be stored on a computer system then SIOExplore can manage it. Common examples are a multibeam swath bathymetry file, a .pdf cruise report, or a tar file containing all the processing scripts used on a cruise. We require a metadata file for every ADO in an ascii "metadata interchange format" (MIF), which has proven to be highly useful for operability and extensibility. Bulk ADO storage is managed using the Storage Resource Broker, SRB, data handling middleware developed at the San Diego Supercomputer Center that centralizes management and access to distributed storage devices. MIF metadata are harvested from several sources and housed in a relational (Oracle) database. For CruiseViewer, cgi scripts resident on an Apache server are the primary communication and service request handling tools. Along with the CruiseViewer java application, users can query, access and download objects via a separate method that operates through standard web browsers, http://sioexplorer.ucsd.edu. Both provide the functionability to query and view object metadata, and select and download ADOs. For the CruiseViewer application Java 2D is used to add a geo-referencing feature that allows users to select basemap images

  17. Java-Library for the Access, Storage and Editing of Calibration Metadata of Optical Sensors

    NASA Astrophysics Data System (ADS)

    Firlej, M.; Kresse, W.

    2016-06-01

    The standardization of the calibration of optical sensors in photogrammetry and remote sensing has been discussed for more than a decade. Projects of the German DGPF and the European EuroSDR led to the abstract International Technical Specification ISO/TS 19159-1:2014 "Calibration and validation of remote sensing imagery sensors and data - Part 1: Optical sensors". This article presents the first software interface for a read- and write-access to all metadata elements standardized in the ISO/TS 19159-1. This interface is based on an xml-schema that was automatically derived by ShapeChange from the UML-model of the Specification. The software interface serves two cases. First, the more than 300 standardized metadata elements are stored individually according to the xml-schema. Secondly, the camera manufacturers are using many administrative data that are not a part of the ISO/TS 19159-1. The new software interface provides a mechanism for input, storage, editing, and output of both types of data. Finally, an output channel towards a usual calibration protocol is provided. The interface is written in Java. The article also addresses observations made when analysing the ISO/TS 19159-1 and compiles a list of proposals for maturing the document, i.e. for an updated version of the Specification.

  18. International Metadata Standards and Enterprise Data Quality Metadata Systems

    NASA Technical Reports Server (NTRS)

    Habermann, Ted

    2016-01-01

    Well-documented data quality is critical in situations where scientists and decision-makers need to combine multiple datasets from different disciplines and collection systems to address scientific questions or difficult decisions. Standardized data quality metadata could be very helpful in these situations. Many efforts at developing data quality standards falter because of the diversity of approaches to measuring and reporting data quality. The one size fits all paradigm does not generally work well in this situation. I will describe these and other capabilities of ISO 19157 with examples of how they are being used to describe data quality across the NASA EOS Enterprise and also compare these approaches with other standards.

  19. Metadata from data: identifying holidays from anesthesia data.

    PubMed

    Starnes, Joseph R; Wanderer, Jonathan P; Ehrenfeld, Jesse M

    2015-05-01

    The increasingly large databases available to researchers necessitate high-quality metadata that is not always available. We describe a method for generating this metadata independently. Cluster analysis and expectation-maximization were used to separate days into holidays/weekends and regular workdays using anesthesia data from Vanderbilt University Medical Center from 2004 to 2014. This classification was then used to describe differences between the two sets of days over time. We evaluated 3802 days and correctly categorized 3797 based on anesthesia case time (representing an error rate of 0.13%). Use of other metrics for categorization, such as billed anesthesia hours and number of anesthesia cases per day, led to similar results. Analysis of the two categories showed that surgical volume increased more quickly with time for non-holidays than holidays (p < 0.001). We were able to successfully generate metadata from data by distinguishing holidays based on anesthesia data. This data can then be used for economic analysis and scheduling purposes. It is possible that the method can be expanded to similar bimodal and multimodal variables.

  20. Turning Data into Information: Assessing and Reporting GIS Metadata Integrity Using Integrated Computing Technologies

    ERIC Educational Resources Information Center

    Mulrooney, Timothy J.

    2009-01-01

    A Geographic Information System (GIS) serves as the tangible and intangible means by which spatially related phenomena can be created, analyzed and rendered. GIS metadata serves as the formal framework to catalog information about a GIS data set. Metadata is independent of the encoded spatial and attribute information. GIS metadata is a subset of…

  1. Analyzing handwriting biometrics in metadata context

    NASA Astrophysics Data System (ADS)

    Scheidat, Tobias; Wolf, Franziska; Vielhauer, Claus

    2006-02-01

    In this article, methods for user recognition by online handwriting are experimentally analyzed using a combination of demographic data of users in relation to their handwriting habits. Online handwriting as a biometric method is characterized by having high variations of characteristics that influences the reliance and security of this method. These variations have not been researched in detail so far. Especially in cross-cultural application it is urgent to reveal the impact of personal background to security aspects in biometrics. Metadata represent the background of writers, by introducing cultural, biological and conditional (changing) aspects like fist language, country of origin, gender, handedness, experiences the influence handwriting and language skills. The goal is the revelation of intercultural impacts on handwriting in order to achieve higher security in biometrical systems. In our experiments, in order to achieve a relatively high coverage, 48 different handwriting tasks have been accomplished by 47 users from three countries (Germany, India and Italy) have been investigated with respect to the relations of metadata and biometric recognition performance. For this purpose, hypotheses have been formulated and have been evaluated using the measurement of well-known recognition error rates from biometrics. The evaluation addressed both: system reliance and security threads by skilled forgeries. For the later purpose, a novel forgery type is introduced, which applies the personal metadata to security aspects and includes new methods of security tests. Finally in our paper, we formulate recommendations for specific user groups and handwriting samples.

  2. Improvements to the Ontology-based Metadata Portal for Unified Semantics (OlyMPUS)

    NASA Astrophysics Data System (ADS)

    Linsinbigler, M. A.; Gleason, J. L.; Huffer, E.

    2016-12-01

    The Ontology-based Metadata Portal for Unified Semantics (OlyMPUS), funded by the NASA Earth Science Technology Office Advanced Information Systems Technology program, is an end-to-end system designed to support Earth Science data consumers and data providers, enabling the latter to register data sets and provision them with the semantically rich metadata that drives the Ontology-Driven Interactive Search Environment for Earth Sciences (ODISEES). OlyMPUS complements the ODISEES' data discovery system with an intelligent tool to enable data producers to auto-generate semantically enhanced metadata and upload it to the metadata repository that drives ODISEES. Like ODISEES, the OlyMPUS metadata provisioning tool leverages robust semantics, a NoSQL database and query engine, an automated reasoning engine that performs first- and second-order deductive inferencing, and uses a controlled vocabulary to support data interoperability and automated analytics. The ODISEES data discovery portal leverages this metadata to provide a seamless data discovery and access experience for data consumers who are interested in comparing and contrasting the multiple Earth science data products available across NASA data centers. Olympus will support scientists' services and tools for performing complex analyses and identifying correlations and non-obvious relationships across all types of Earth System phenomena using the full spectrum of NASA Earth Science data available. By providing an intelligent discovery portal that supplies users - both human users and machines - with detailed information about data products, their contents and their structure, ODISEES will reduce the level of effort required to identify and prepare large volumes of data for analysis. This poster will explain how OlyMPUS leverages deductive reasoning and other technologies to create an integrated environment for generating and exploiting semantically rich metadata.

  3. Predicting age groups of Twitter users based on language and metadata features.

    PubMed

    Morgan-Lopez, Antonio A; Kim, Annice E; Chew, Robert F; Ruddle, Paul

    2017-01-01

    Health organizations are increasingly using social media, such as Twitter, to disseminate health messages to target audiences. Determining the extent to which the target audience (e.g., age groups) was reached is critical to evaluating the impact of social media education campaigns. The main objective of this study was to examine the separate and joint predictive validity of linguistic and metadata features in predicting the age of Twitter users. We created a labeled dataset of Twitter users across different age groups (youth, young adults, adults) by collecting publicly available birthday announcement tweets using the Twitter Search application programming interface. We manually reviewed results and, for each age-labeled handle, collected the 200 most recent publicly available tweets and user handles' metadata. The labeled data were split into training and test datasets. We created separate models to examine the predictive validity of language features only, metadata features only, language and metadata features, and words/phrases from another age-validated dataset. We estimated accuracy, precision, recall, and F1 metrics for each model. An L1-regularized logistic regression model was conducted for each age group, and predicted probabilities between the training and test sets were compared for each age group. Cohen's d effect sizes were calculated to examine the relative importance of significant features. Models containing both Tweet language features and metadata features performed the best (74% precision, 74% recall, 74% F1) while the model containing only Twitter metadata features were least accurate (58% precision, 60% recall, and 57% F1 score). Top predictive features included use of terms such as "school" for youth and "college" for young adults. Overall, it was more challenging to predict older adults accurately. These results suggest that examining linguistic and Twitter metadata features to predict youth and young adult Twitter users may be helpful for

  4. [Radiological dose and metadata management].

    PubMed

    Walz, M; Kolodziej, M; Madsack, B

    2016-12-01

    This article describes the features of management systems currently available in Germany for extraction, registration and evaluation of metadata from radiological examinations, particularly in the digital imaging and communications in medicine (DICOM) environment. In addition, the probable relevant developments in this area concerning radiation protection legislation, terminology, standardization and information technology are presented.

  5. Document Classification in Support of Automated Metadata Extraction Form Heterogeneous Collections

    ERIC Educational Resources Information Center

    Flynn, Paul K.

    2014-01-01

    A number of federal agencies, universities, laboratories, and companies are placing their documents online and making them searchable via metadata fields such as author, title, and publishing organization. To enable this, every document in the collection must be catalogued using the metadata fields. Though time consuming, the task of identifying…

  6. An Assistant for Loading Learning Object Metadata: An Ontology Based Approach

    ERIC Educational Resources Information Center

    Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo

    2013-01-01

    In the last years, the development of different Repositories of Learning Objects has been increased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard…

  7. Definition of a CDI metadata profile and its ISO 19139 based encoding

    NASA Astrophysics Data System (ADS)

    Boldrini, Enrico; de Korte, Arjen; Santoro, Mattia; Schaap, Dick M. A.; Nativi, Stefano; Manzella, Giuseppe

    2010-05-01

    The Common Data Index (CDI) is the middleware service adopted by SeaDataNet for discovery and query. The primary goal of the EU funded project SeaDataNet is to develop a system which provides transparent access to marine data sets and data products from 36 countries in and around Europe. The European context of SeaDataNet requires that the developed system complies with European Directive INSPIRE. In order to assure the required conformity a GI-cat based solution is proposed. GI-cat is a broker service able to mediate from different metadata sources and publish them through a consistent and unified interface. In this case GI-cat is used as a front end to the SeaDataNet portal publishing the original data, based on CDI v.1 XML schema, through an ISO 19139 application profile catalog interface (OGC CSW AP ISO). The choice of ISO 19139 is supported and driven by INSPIRE Implementing Rules, that have been used as a reference through the whole development process. A mapping from the CDI data model to the ISO 19139 was hence to be implemented in GI-cat and a first draft quickly developed, as both CDI v.1 and ISO 19139 happen to be XML implementations based on the same abstract data model (standard ISO 19115 - metadata about geographic information). This first draft mapping pointed out the CDI metadata model differences with respect to ISO 19115, as it was not possible to accommodate all the information contained in CDI v.1 into ISO 19139. Moreover some modifications were needed in order to reach INSPIRE compliance. The consequent work consisted in the definition of the CDI metadata model as a profile of ISO 19115. This included checking of all the metadata elements present in CDI and their cardinality. A comparison was made with respect to ISO 19115 and possible extensions were individuated. ISO 19139 was then chosen as a natural XML implementation of this new CDI metadata profile. The mapping and the profile definition processes were iteratively refined leading up to a

  8. A metadata schema for data objects in clinical research.

    PubMed

    Canham, Steve; Ohmann, Christian

    2016-11-24

    A large number of stakeholders have accepted the need for greater transparency in clinical research and, in the context of various initiatives and systems, have developed a diverse and expanding number of repositories for storing the data and documents created by clinical studies (collectively known as data objects). To make the best use of such resources, we assert that it is also necessary for stakeholders to agree and deploy a simple, consistent metadata scheme. The relevant data objects and their likely storage are described, and the requirements for metadata to support data sharing in clinical research are identified. Issues concerning persistent identifiers, for both studies and data objects, are explored. A scheme is proposed that is based on the DataCite standard, with extensions to cover the needs of clinical researchers, specifically to provide (a) study identification data, including links to clinical trial registries; (b) data object characteristics and identifiers; and (c) data covering location, ownership and access to the data object. The components of the metadata scheme are described. The metadata schema is proposed as a natural extension of a widely agreed standard to fill a gap not tackled by other standards related to clinical research (e.g., Clinical Data Interchange Standards Consortium, Biomedical Research Integrated Domain Group). The proposal could be integrated with, but is not dependent on, other moves to better structure data in clinical research.

  9. ATLAS Metadata Infrastructure Evolution for Run 2 and Beyond

    NASA Astrophysics Data System (ADS)

    van Gemmeren, P.; Cranshaw, J.; Malon, D.; Vaniachine, A.

    2015-12-01

    ATLAS developed and employed for Run 1 of the Large Hadron Collider a sophisticated infrastructure for metadata handling in event processing jobs. This infrastructure profits from a rich feature set provided by the ATLAS execution control framework, including standardized interfaces and invocation mechanisms for tools and services, segregation of transient data stores with concomitant object lifetime management, and mechanisms for handling occurrences asynchronous to the control framework's state machine transitions. This metadata infrastructure is evolving and being extended for Run 2 to allow its use and reuse in downstream physics analyses, analyses that may or may not utilize the ATLAS control framework. At the same time, multiprocessing versions of the control framework and the requirements of future multithreaded frameworks are leading to redesign of components that use an incident-handling approach to asynchrony. The increased use of scatter-gather architectures, both local and distributed, requires further enhancement of metadata infrastructure in order to ensure semantic coherence and robust bookkeeping. This paper describes the evolution of ATLAS metadata infrastructure for Run 2 and beyond, including the transition to dual-use tools—tools that can operate inside or outside the ATLAS control framework—and the implications thereof. It further examines how the design of this infrastructure is changing to accommodate the requirements of future frameworks and emerging event processing architectures.

  10. Metadata-Driven SOA-Based Application for Facilitation of Real-Time Data Warehousing

    NASA Astrophysics Data System (ADS)

    Pintar, Damir; Vranić, Mihaela; Skočir, Zoran

    Service-oriented architecture (SOA) has already been widely recognized as an effective paradigm for achieving integration of diverse information systems. SOA-based applications can cross boundaries of platforms, operation systems and proprietary data standards, commonly through the usage of Web Services technology. On the other side, metadata is also commonly referred to as a potential integration tool given the fact that standardized metadata objects can provide useful information about specifics of unknown information systems with which one has interest in communicating with, using an approach commonly called "model-based integration". This paper presents the result of research regarding possible synergy between those two integration facilitators. This is accomplished with a vertical example of a metadata-driven SOA-based business process that provides ETL (Extraction, Transformation and Loading) and metadata services to a data warehousing system in need of a real-time ETL support.

  11. The ground truth about metadata and community detection in networks

    PubMed Central

    Peel, Leto; Larremore, Daniel B.; Clauset, Aaron

    2017-01-01

    Across many scientific domains, there is a common need to automatically extract a simplified view or coarse-graining of how a complex system’s components interact. This general task is called community detection in networks and is analogous to searching for clusters in independent vector data. It is common to evaluate the performance of community detection algorithms by their ability to find so-called ground truth communities. This works well in synthetic networks with planted communities because these networks’ links are formed explicitly based on those known communities. However, there are no planted communities in real-world networks. Instead, it is standard practice to treat some observed discrete-valued node attributes, or metadata, as ground truth. We show that metadata are not the same as ground truth and that treating them as such induces severe theoretical and practical problems. We prove that no algorithm can uniquely solve community detection, and we prove a general No Free Lunch theorem for community detection, which implies that there can be no algorithm that is optimal for all possible community detection tasks. However, community detection remains a powerful tool and node metadata still have value, so a careful exploration of their relationship with network structure can yield insights of genuine worth. We illustrate this point by introducing two statistical techniques that can quantify the relationship between metadata and community structure for a broad class of models. We demonstrate these techniques using both synthetic and real-world networks, and for multiple types of metadata and community structures. PMID:28508065

  12. The ground truth about metadata and community detection in networks.

    PubMed

    Peel, Leto; Larremore, Daniel B; Clauset, Aaron

    2017-05-01

    Across many scientific domains, there is a common need to automatically extract a simplified view or coarse-graining of how a complex system's components interact. This general task is called community detection in networks and is analogous to searching for clusters in independent vector data. It is common to evaluate the performance of community detection algorithms by their ability to find so-called ground truth communities. This works well in synthetic networks with planted communities because these networks' links are formed explicitly based on those known communities. However, there are no planted communities in real-world networks. Instead, it is standard practice to treat some observed discrete-valued node attributes, or metadata, as ground truth. We show that metadata are not the same as ground truth and that treating them as such induces severe theoretical and practical problems. We prove that no algorithm can uniquely solve community detection, and we prove a general No Free Lunch theorem for community detection, which implies that there can be no algorithm that is optimal for all possible community detection tasks. However, community detection remains a powerful tool and node metadata still have value, so a careful exploration of their relationship with network structure can yield insights of genuine worth. We illustrate this point by introducing two statistical techniques that can quantify the relationship between metadata and community structure for a broad class of models. We demonstrate these techniques using both synthetic and real-world networks, and for multiple types of metadata and community structures.

  13. Automatic identification of abstract online groups

    DOEpatents

    Engel, David W; Gregory, Michelle L; Bell, Eric B; Cowell, Andrew J; Piatt, Andrew W

    2014-04-15

    Online abstract groups, in which members aren't explicitly connected, can be automatically identified by computer-implemented methods. The methods involve harvesting records from social media and extracting content-based and structure-based features from each record. Each record includes a social-media posting and is associated with one or more entities. Each feature is stored on a data storage device and includes a computer-readable representation of an attribute of one or more records. The methods further involve grouping records into record groups according to the features of each record. Further still the methods involve calculating an n-dimensional surface representing each record group and defining an outlier as a record having feature-based distances measured from every n-dimensional surface that exceed a threshold value. Each of the n-dimensional surfaces is described by a footprint that characterizes the respective record group as an online abstract group.

  14. A Digital Broadcast Item (DBI) enabling metadata repository for digital, interactive television (digiTV) feedback channel networks

    NASA Astrophysics Data System (ADS)

    Lugmayr, Artur R.; Mailaparampil, Anurag; Tico, Florina; Kalli, Seppo; Creutzburg, Reiner

    2003-01-01

    Digital television (digiTV) is an additional multimedia environment, where metadata is one key element for the description of arbitrary content. This implies adequate structures for content description, which is provided by XML metadata schemes (e.g. MPEG-7, MPEG-21). Content and metadata management is the task of a multimedia repository, from which digiTV clients - equipped with an Internet connection - can access rich additional multimedia types over an "All-HTTP" protocol layer. Within this research work, we focus on conceptual design issues of a metadata repository for the storage of metadata, accessible from the feedback channel of a local set-top box. Our concept describes the whole heterogeneous life-cycle chain of XML metadata from the service provider to the digiTV equipment, device independent representation of content, accessing and querying the metadata repository, management of metadata related to digiTV, and interconnection of basic system components (http front-end, relational database system, and servlet container). We present our conceptual test configuration of a metadata repository that is aimed at a real-world deployment, done within the scope of the future interaction (fiTV) project at the Digital Media Institute (DMI) Tampere (www.futureinteraction.tv).

  15. Incorporating clinical metadata with digital image features for automated identification of cutaneous melanoma.

    PubMed

    Liu, Z; Sun, J; Smith, M; Smith, L; Warr, R

    2013-11-01

    Computer-assisted diagnosis (CAD) of malignant melanoma (MM) has been advocated to help clinicians to achieve a more objective and reliable assessment. However, conventional CAD systems examine only the features extracted from digital photographs of lesions. Failure to incorporate patients' personal information constrains the applicability in clinical settings. To develop a new CAD system to improve the performance of automatic diagnosis of melanoma, which, for the first time, incorporates digital features of lesions with important patient metadata into a learning process. Thirty-two features were extracted from digital photographs to characterize skin lesions. Patients' personal information, such as age, gender and, lesion site, and their combinations, was quantified as metadata. The integration of digital features and metadata was realized through an extended Laplacian eigenmap, a dimensionality-reduction method grouping lesions with similar digital features and metadata into the same classes. The diagnosis reached 82.1% sensitivity and 86.1% specificity when only multidimensional digital features were used, but improved to 95.2% sensitivity and 91.0% specificity after metadata were incorporated appropriately. The proposed system achieves a level of sensitivity comparable with experienced dermatologists aided by conventional dermoscopes. This demonstrates the potential of our method for assisting clinicians in diagnosing melanoma, and the benefit it could provide to patients and hospitals by greatly reducing unnecessary excisions of benign naevi. This paper proposes an enhanced CAD system incorporating clinical metadata into the learning process for automatic classification of melanoma. Results demonstrate that the additional metadata and the mechanism to incorporate them are useful for improving CAD of melanoma. © 2013 British Association of Dermatologists.

  16. Principles of metadata organization at the ENCODE data coordination center

    PubMed Central

    Hong, Eurie L.; Sloan, Cricket A.; Chan, Esther T.; Davidson, Jean M.; Malladi, Venkat S.; Strattan, J. Seth; Hitz, Benjamin C.; Gabdank, Idan; Narayanan, Aditi K.; Ho, Marcus; Lee, Brian T.; Rowe, Laurence D.; Dreszer, Timothy R.; Roe, Greg R.; Podduturi, Nikhil R.; Tanaka, Forrest; Hilton, Jason A.; Cherry, J. Michael

    2016-01-01

    The Encyclopedia of DNA Elements (ENCODE) Data Coordinating Center (DCC) is responsible for organizing, describing and providing access to the diverse data generated by the ENCODE project. The description of these data, known as metadata, includes the biological sample used as input, the protocols and assays performed on these samples, the data files generated from the results and the computational methods used to analyze the data. Here, we outline the principles and philosophy used to define the ENCODE metadata in order to create a metadata standard that can be applied to diverse assays and multiple genomic projects. In addition, we present how the data are validated and used by the ENCODE DCC in creating the ENCODE Portal (https://www.encodeproject.org/). Database URL: www.encodeproject.org PMID:26980513

  17. Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata.

    PubMed

    Hu, Wei; Zaveri, Amrapali; Qiu, Honglei; Dumontier, Michel

    2017-09-18

    The ability to efficiently search and filter datasets depends on access to high quality metadata. While most biomedical repositories require data submitters to provide a minimal set of metadata, some such as the Gene Expression Omnibus (GEO) allows users to specify additional metadata in the form of textual key-value pairs (e.g. sex: female). However, since there is no structured vocabulary to guide the submitter regarding the metadata terms to use, consequently, the 44,000,000+ key-value pairs in GEO suffer from numerous quality issues including redundancy, heterogeneity, inconsistency, and incompleteness. Such issues hinder the ability of scientists to hone in on datasets that meet their requirements and point to a need for accurate, structured and complete description of the data. In this study, we propose a clustering-based approach to address data quality issues in biomedical, specifically gene expression, metadata. First, we present three different kinds of similarity measures to compare metadata keys. Second, we design a scalable agglomerative clustering algorithm to cluster similar keys together. Our agglomerative cluster algorithm identified metadata keys that were similar, based on (i) name, (ii) core concept and (iii) value similarities, to each other and grouped them together. We evaluated our method using a manually created gold standard in which 359 keys were grouped into 27 clusters based on six types of characteristics: (i) age, (ii) cell line, (iii) disease, (iv) strain, (v) tissue and (vi) treatment. As a result, the algorithm generated 18 clusters containing 355 keys (four clusters with only one key were excluded). In the 18 clusters, there were keys that were identified correctly to be related to that cluster, but there were 13 keys which were not related to that cluster. We compared our approach with four other published methods. Our approach significantly outperformed them for most metadata keys and achieved the best average F-Score (0

  18. Better Living Through Metadata: Examining Archive Usage

    NASA Astrophysics Data System (ADS)

    Becker, G.; Winkelman, S.; Rots, A.

    2013-10-01

    The primary purpose of an observatory's archive is to provide access to the data through various interfaces. User interactions with the archive are recorded in server logs, which can be used to answer basic questions like: Who has downloaded dataset X? When did she do this? Which tools did she use? The answers to questions like these fill in patterns of data access (e.g., how many times dataset X has been downloaded in the past three years). Analysis of server logs provides metrics of archive usage and provides feedback on interface use which can be used to guide future interface development. The Chandra X-ray Observatory is fortunate in that a database to track data access and downloads has been continuously recording such transactions for years; however, it is overdue for an update. We will detail changes we hope to effect and the differences the changes may make to our usage metadata picture. We plan to gather more information about the geographic location of users without compromising privacy; create improved archive statistics; and track and assess the impact of web “crawlers” and other scripted access methods on the archive. With the improvements to our download tracking we hope to gain a better understanding of the dissemination of Chandra's data; how effectively it is being done; and perhaps discover ideas for new services.

  19. Twiddlenet: Metadata Tagging and Data Dissemination in Mobile Device Networks

    DTIC Science & Technology

    2007-09-01

    hosting a distributed data dissemination application. Stated simply, there are a multitude of handheld devices on the market that can communicate in...content ( UGC ) across a network of distributed devices. This sharing is accomplished through the use of descriptive metadata tags that are assigned to a...file once it has been shared. These metadata files are uploaded to a centralized portal and arranged for efficient UGC location and searching

  20. phosphorus retention data and metadata

    EPA Pesticide Factsheets

    phosphorus retention in wetlands data and metadataThis dataset is associated with the following publication:Lane , C., and B. Autrey. Phosphorus retention of forested and emergent marsh depressional wetlands in differing land uses in Florida, USA. Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V., GERMANY, 24(1): 45-60, (2016).

  1. NCPP's Use of Standard Metadata to Promote Open and Transparent Climate Modeling

    NASA Astrophysics Data System (ADS)

    Treshansky, A.; Barsugli, J. J.; Guentchev, G.; Rood, R. B.; DeLuca, C.

    2012-12-01

    The National Climate Predictions and Projections (NCPP) Platform is developing comprehensive regional and local information about the evolving climate to inform decision making and adaptation planning. This includes both creating and providing tools to create metadata about the models and processes used to create its derived data products. NCPP is using the Common Information Model (CIM), an ontology developed by a broad set of international partners in climate research, as its metadata language. This use of a standard ensures interoperability within the climate community as well as permitting access to the ecosystem of tools and services emerging alongside the CIM. The CIM itself is divided into a general-purpose (UML & XML) schema which structures metadata documents, and a project or community-specific (XML) Controlled Vocabulary (CV) which constraints the content of metadata documents. NCPP has already modified the CIM Schema to accommodate downscaling models, simulations, and experiments. NCPP is currently developing a CV for use by the downscaling community. Incorporating downscaling into the CIM will lead to several benefits: easy access to the existing CIM Documents describing CMIP5 models and simulations that are being downscaled, access to software tools that have been developed in order to search, manipulate, and visualize CIM metadata, and coordination with national and international efforts such as ES-DOC that are working to make climate model descriptions and datasets interoperable. Providing detailed metadata descriptions which include the full provenance of derived data products will contribute to making that data (and, the models and processes which generated that data) more open and transparent to the user community.

  2. System for Earth Sample Registration SESAR: Services for IGSN Registration and Sample Metadata Management

    NASA Astrophysics Data System (ADS)

    Chan, S.; Lehnert, K. A.; Coleman, R. J.

    2011-12-01

    SESAR, the System for Earth Sample Registration, is an online registry for physical samples collected for Earth and environmental studies. SESAR generates and administers the International Geo Sample Number IGSN, a unique identifier for samples that is dramatically advancing interoperability amongst information systems for sample-based data. SESAR was developed to provide the complete range of registry services, including definition of IGSN syntax and metadata profiles, registration and validation of name spaces requested by users, tools for users to submit and manage sample metadata, validation of submitted metadata, generation and validation of the unique identifiers, archiving of sample metadata, and public or private access to the sample metadata catalog. With the development of SESAR v3, we placed particular emphasis on creating enhanced tools that make metadata submission easier and more efficient for users, and that provide superior functionality for users to manage metadata of their samples in their private workspace MySESAR. For example, SESAR v3 includes a module where users can generate custom spreadsheet templates to enter metadata for their samples, then upload these templates online for sample registration. Once the content of the template is uploaded, it is displayed online in an editable grid format. Validation rules are executed in real-time on the grid data to ensure data integrity. Other new features of SESAR v3 include the capability to transfer ownership of samples to other SESAR users, the ability to upload and store images and other files in a sample metadata profile, and the tracking of changes to sample metadata profiles. In the next version of SESAR (v3.5), we will further improve the discovery, sharing, registration of samples. For example, we are developing a more comprehensive suite of web services that will allow discovery and registration access to SESAR from external systems. Both batch and individual registrations will be possible

  3. Principles of metadata organization at the ENCODE data coordination center.

    PubMed

    Hong, Eurie L; Sloan, Cricket A; Chan, Esther T; Davidson, Jean M; Malladi, Venkat S; Strattan, J Seth; Hitz, Benjamin C; Gabdank, Idan; Narayanan, Aditi K; Ho, Marcus; Lee, Brian T; Rowe, Laurence D; Dreszer, Timothy R; Roe, Greg R; Podduturi, Nikhil R; Tanaka, Forrest; Hilton, Jason A; Cherry, J Michael

    2016-01-01

    The Encyclopedia of DNA Elements (ENCODE) Data Coordinating Center (DCC) is responsible for organizing, describing and providing access to the diverse data generated by the ENCODE project. The description of these data, known as metadata, includes the biological sample used as input, the protocols and assays performed on these samples, the data files generated from the results and the computational methods used to analyze the data. Here, we outline the principles and philosophy used to define the ENCODE metadata in order to create a metadata standard that can be applied to diverse assays and multiple genomic projects. In addition, we present how the data are validated and used by the ENCODE DCC in creating the ENCODE Portal (https://www.encodeproject.org/). Database URL: www.encodeproject.org. © The Author(s) 2016. Published by Oxford University Press.

  4. Leveraging Metadata to Create Interactive Images... Today!

    NASA Astrophysics Data System (ADS)

    Hurt, Robert L.; Squires, G. K.; Llamas, J.; Rosenthal, C.; Brinkworth, C.; Fay, J.

    2011-01-01

    The image gallery for NASA's Spitzer Space Telescope has been newly rebuilt to fully support the Astronomy Visualization Metadata (AVM) standard to create a new user experience both on the website and in other applications. We encapsulate all the key descriptive information for a public image, including color representations and astronomical and sky coordinates and make it accessible in a user-friendly form on the website, but also embed the same metadata within the image files themselves. Thus, images downloaded from the site will carry with them all their descriptive information. Real-world benefits include display of general metadata when such images are imported into image editing software (e.g. Photoshop) or image catalog software (e.g. iPhoto). More advanced support in Microsoft's WorldWide Telescope can open a tagged image after it has been downloaded and display it in its correct sky position, allowing comparison with observations from other observatories. An increasing number of software developers are implementing AVM support in applications and an online image archive for tagged images is under development at the Spitzer Science Center. Tagging images following the AVM offers ever-increasing benefits to public-friendly imagery in all its standard forms (JPEG, TIFF, PNG). The AVM standard is one part of the Virtual Astronomy Multimedia Project (VAMP); http://www.communicatingastronomy.org

  5. NetCDF4/HDF5 and Linked Data in the Real World - Enriching Geoscientific Metadata without Bloat

    NASA Astrophysics Data System (ADS)

    Ip, Alex; Car, Nicholas; Druken, Kelsey; Poudjom-Djomani, Yvette; Butcher, Stirling; Evans, Ben; Wyborn, Lesley

    2017-04-01

    NetCDF4 has become the dominant generic format for many forms of geoscientific data, leveraging (and constraining) the versatile HDF5 container format, while providing metadata conventions for interoperability. However, the encapsulation of detailed metadata within each file can lead to metadata "bloat", and difficulty in maintaining consistency where metadata is replicated to multiple locations. Complex conceptual relationships are also difficult to represent in simple key-value netCDF metadata. Linked Data provides a practical mechanism to address these issues by associating the netCDF files and their internal variables with complex metadata stored in Semantic Web vocabularies and ontologies, while complying with and complementing existing metadata conventions. One of the stated objectives of the netCDF4/HDF5 formats is that they should be self-describing: containing metadata sufficient for cataloguing and using the data. However, this objective can be regarded as only partially-met where details of conventions and definitions are maintained externally to the data files. For example, one of the most widely used netCDF community standards, the Climate and Forecasting (CF) Metadata Convention, maintains standard vocabularies for a broad range of disciplines across the geosciences, but this metadata is currently neither readily discoverable nor machine-readable. We have previously implemented useful Linked Data and netCDF tooling (ncskos) that associates netCDF files, and individual variables within those files, with concepts in vocabularies formulated using the Simple Knowledge Organization System (SKOS) ontology. NetCDF files contain Uniform Resource Identifier (URI) links to terms represented as SKOS Concepts, rather than plain-text representations of those terms, so we can use simple, standardised web queries to collect and use rich metadata for the terms from any Linked Data-presented SKOS vocabulary. Geoscience Australia (GA) manages a large volume of diverse

  6. Making Information Visible, Accessible, and Understandable: Meta-Data and Registries

    DTIC Science & Technology

    2007-07-01

    the data created, the length of play time, album name, and the genre. Without resource metadata, portable digital music players would not be so...notion of a catalog card in a library. An example of metadata is the description of a music file specifying the creator, the artist that performed the song...describe struc- ture and formatting which are critical to interoperability and the management of databases. Going back to the portable music player example

  7. Predicting age groups of Twitter users based on language and metadata features

    PubMed Central

    Morgan-Lopez, Antonio A.; Chew, Robert F.; Ruddle, Paul

    2017-01-01

    Health organizations are increasingly using social media, such as Twitter, to disseminate health messages to target audiences. Determining the extent to which the target audience (e.g., age groups) was reached is critical to evaluating the impact of social media education campaigns. The main objective of this study was to examine the separate and joint predictive validity of linguistic and metadata features in predicting the age of Twitter users. We created a labeled dataset of Twitter users across different age groups (youth, young adults, adults) by collecting publicly available birthday announcement tweets using the Twitter Search application programming interface. We manually reviewed results and, for each age-labeled handle, collected the 200 most recent publicly available tweets and user handles’ metadata. The labeled data were split into training and test datasets. We created separate models to examine the predictive validity of language features only, metadata features only, language and metadata features, and words/phrases from another age-validated dataset. We estimated accuracy, precision, recall, and F1 metrics for each model. An L1-regularized logistic regression model was conducted for each age group, and predicted probabilities between the training and test sets were compared for each age group. Cohen’s d effect sizes were calculated to examine the relative importance of significant features. Models containing both Tweet language features and metadata features performed the best (74% precision, 74% recall, 74% F1) while the model containing only Twitter metadata features were least accurate (58% precision, 60% recall, and 57% F1 score). Top predictive features included use of terms such as “school” for youth and “college” for young adults. Overall, it was more challenging to predict older adults accurately. These results suggest that examining linguistic and Twitter metadata features to predict youth and young adult Twitter users may be

  8. A Common Metadata System for Marine Data Portals

    NASA Astrophysics Data System (ADS)

    Wosniok, C.; Breitbach, G.; Lehfeldt, R.

    2012-04-01

    ), Web Feature Service (WFS) and Sensor Observation Service (SOS), which ensures interoperability and extensibility. In addition, metadata as crucial components for searching and finding information in large data infrastructures is provided via the Catalogue Web Service (CS-W). MDI-DE and COSYNA rely on the metadata information system for marine metadata NOKIS, which reflects a metadata profile tailored for marine data according to the specifications of German coastal authorities. In spite of this common software base, interoperability between the two data collections requires constant alignments of the diverse data processed by the two portals. While monitoring data in the MDI-DE is currently rather campaign-based, COSYNA has to fit constantly evolving time series into metadata sets. With all data following the same metadata profile, we now reach full interoperability between the different data collections. The distributed marine information system provides options to search, find and visualise the harmonised results from continuous monitoring, field campaigns, numerical modeling and other data in one web client.

  9. Manifestations of Metadata: From Alexandria to the Web--Old is New Again

    ERIC Educational Resources Information Center

    Kennedy, Patricia

    2008-01-01

    This paper is a discussion of the use of metadata, in its various manifestations, to access information. Information management standards are discussed. The connection between the ancient world and the modern world is highlighted. Individual perspectives are paramount in fulfilling information seeking. Metadata is interpreted and reflected upon in…

  10. A Metadata Standard for Hydroinformatic Data Conforming to International Standards

    NASA Astrophysics Data System (ADS)

    Notay, Vikram; Carstens, Georg; Lehfeldt, Rainer

    2017-04-01

    The affordable availability of computing power and digital storage has been a boon for the scientific community. The hydroinformatics community has also benefitted from the so-called digital revolution, which has enabled the tackling of more and more complex physical phenomena using hydroinformatic models, instruments, sensors, etc. With models getting more and more complex, computational domains getting larger and the resolution of computational grids and measurement data getting finer, a large amount of data is generated and consumed in any hydroinformatics related project. The ubiquitous availability of internet also contributes to this phenomenon with data being collected through sensor networks connected to telecommunications networks and the internet long before the term Internet of Things existed. Although generally good, this exponential increase in the number of available datasets gives rise to the need to describe this data in a standardised way to not only be able to get a quick overview about the data but to also facilitate interoperability of data from different sources. The Federal Waterways Engineering and Research Institute (BAW) is a federal authority of the German Federal Ministry of Transport and Digital Infrastructure. BAW acts as a consultant for the safe and efficient operation of the German waterways. As part of its consultation role, BAW operates a number of physical and numerical models for sections of inland and marine waterways. In order to uniformly describe the data produced and consumed by these models throughout BAW and to ensure interoperability with other federal and state institutes on the one hand and with EU countries on the other, a metadata profile for hydroinformatic data has been developed at BAW. The metadata profile is composed in its entirety using the ISO 19115 international standard for metadata related to geographic information. Due to the widespread use of the ISO 19115 standard in the existing geodata infrastructure

  11. Raising orphans from a metadata morass: A researcher's guide to re-use of public 'omics data.

    PubMed

    Bhandary, Priyanka; Seetharam, Arun S; Arendsee, Zebulun W; Hur, Manhoi; Wurtele, Eve Syrkin

    2018-02-01

    More than 15 petabases of raw RNAseq data is now accessible through public repositories. Acquisition of other 'omics data types is expanding, though most lack a centralized archival repository. Data-reuse provides tremendous opportunity to extract new knowledge from existing experiments, and offers a unique opportunity for robust, multi-'omics analyses by merging metadata (information about experimental design, biological samples, protocols) and data from multiple experiments. We illustrate how predictive research can be accelerated by meta-analysis with a study of orphan (species-specific) genes. Computational predictions are critical to infer orphan function because their coding sequences provide very few clues. The metadata in public databases is often confusing; a test case with Zea mays mRNA seq data reveals a high proportion of missing, misleading or incomplete metadata. This metadata morass significantly diminishes the insight that can be extracted from these data. We provide tips for data submitters and users, including specific recommendations to improve metadata quality by more use of controlled vocabulary and by metadata reviews. Finally, we advocate for a unified, straightforward metadata submission and retrieval system. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. Effective use of metadata in the integration and analysis of multi-dimensional optical data

    NASA Astrophysics Data System (ADS)

    Pastorello, G. Z.; Gamon, J. A.

    2012-12-01

    Data discovery and integration relies on adequate metadata. However, creating and maintaining metadata is time consuming and often poorly addressed or avoided altogether, leading to problems in later data analysis and exchange. This is particularly true for research fields in which metadata standards do not yet exist or are under development, or within smaller research groups without enough resources. Vegetation monitoring using in-situ and remote optical sensing is an example of such a domain. In this area, data are inherently multi-dimensional, with spatial, temporal and spectral dimensions usually being well characterized. Other equally important aspects, however, might be inadequately translated into metadata. Examples include equipment specifications and calibrations, field/lab notes and field/lab protocols (e.g., sampling regimen, spectral calibration, atmospheric correction, sensor view angle, illumination angle), data processing choices (e.g., methods for gap filling, filtering and aggregation of data), quality assurance, and documentation of data sources, ownership and licensing. Each of these aspects can be important as metadata for search and discovery, but they can also be used as key data fields in their own right. If each of these aspects is also understood as an "extra dimension," it is possible to take advantage of them to simplify the data acquisition, integration, analysis, visualization and exchange cycle. Simple examples include selecting data sets of interest early in the integration process (e.g., only data collected according to a specific field sampling protocol) or applying appropriate data processing operations to different parts of a data set (e.g., adaptive processing for data collected under different sky conditions). More interesting scenarios involve guided navigation and visualization of data sets based on these extra dimensions, as well as partitioning data sets to highlight relevant subsets to be made available for exchange. The

  13. Metadata Repository for Improved Data Sharing and Reuse Based on HL7 FHIR.

    PubMed

    Ulrich, Hannes; Kock, Ann-Kristin; Duhm-Harbeck, Petra; Habermann, Jens K; Ingenerf, Josef

    2016-01-01

    Unreconciled data structures and formats are a common obstacle to the urgently required sharing and reuse of data within healthcare and medical research. Within the North German Tumor Bank of Colorectal Cancer, clinical and sample data, based on a harmonized data set, is collected and can be pooled by using a hospital-integrated Research Data Management System supporting biobank and study management. Adding further partners who are not using the core data set requires manual adaptations and mapping of data elements. Facing this manual intervention and focusing the reuse of heterogeneous healthcare instance data (value level) and data elements (metadata level), a metadata repository has been developed. The metadata repository is an ISO 11179-3 conformant server application built for annotating and mediating data elements. The implemented architecture includes the translation of metadata information about data elements into the FHIR standard using the FHIR Data Element resource with the ISO 11179 Data Element Extensions. The FHIR-based processing allows exchange of data elements with clinical and research IT systems as well as with other metadata systems. With increasingly annotated and harmonized data elements, data quality and integration can be improved for successfully enabling data analytics and decision support.

  14. Virtual Environments for Visualizing Structural Health Monitoring Sensor Networks, Data, and Metadata.

    PubMed

    Napolitano, Rebecca; Blyth, Anna; Glisic, Branko

    2018-01-16

    Visualization of sensor networks, data, and metadata is becoming one of the most pivotal aspects of the structural health monitoring (SHM) process. Without the ability to communicate efficiently and effectively between disparate groups working on a project, an SHM system can be underused, misunderstood, or even abandoned. For this reason, this work seeks to evaluate visualization techniques in the field, identify flaws in current practices, and devise a new method for visualizing and accessing SHM data and metadata in 3D. More precisely, the work presented here reflects a method and digital workflow for integrating SHM sensor networks, data, and metadata into a virtual reality environment by combining spherical imaging and informational modeling. Both intuitive and interactive, this method fosters communication on a project enabling diverse practitioners of SHM to efficiently consult and use the sensor networks, data, and metadata. The method is presented through its implementation on a case study, Streicker Bridge at Princeton University campus. To illustrate the efficiency of the new method, the time and data file size were compared to other potential methods used for visualizing and accessing SHM sensor networks, data, and metadata in 3D. Additionally, feedback from civil engineering students familiar with SHM is used for validation. Recommendations on how different groups working together on an SHM project can create SHM virtual environment and convey data to proper audiences, are also included.

  15. Virtual Environments for Visualizing Structural Health Monitoring Sensor Networks, Data, and Metadata

    PubMed Central

    Napolitano, Rebecca; Blyth, Anna; Glisic, Branko

    2018-01-01

    Visualization of sensor networks, data, and metadata is becoming one of the most pivotal aspects of the structural health monitoring (SHM) process. Without the ability to communicate efficiently and effectively between disparate groups working on a project, an SHM system can be underused, misunderstood, or even abandoned. For this reason, this work seeks to evaluate visualization techniques in the field, identify flaws in current practices, and devise a new method for visualizing and accessing SHM data and metadata in 3D. More precisely, the work presented here reflects a method and digital workflow for integrating SHM sensor networks, data, and metadata into a virtual reality environment by combining spherical imaging and informational modeling. Both intuitive and interactive, this method fosters communication on a project enabling diverse practitioners of SHM to efficiently consult and use the sensor networks, data, and metadata. The method is presented through its implementation on a case study, Streicker Bridge at Princeton University campus. To illustrate the efficiency of the new method, the time and data file size were compared to other potential methods used for visualizing and accessing SHM sensor networks, data, and metadata in 3D. Additionally, feedback from civil engineering students familiar with SHM is used for validation. Recommendations on how different groups working together on an SHM project can create SHM virtual environment and convey data to proper audiences, are also included. PMID:29337877

  16. In-field Access to Geoscientific Metadata through GPS-enabled Mobile Phones

    NASA Astrophysics Data System (ADS)

    Hobona, Gobe; Jackson, Mike; Jordan, Colm; Butchart, Ben

    2010-05-01

    Fieldwork is an integral part of much geosciences research. But whilst geoscientists have physical or online access to data collections whilst in the laboratory or at base stations, equivalent in-field access is not standard or straightforward. The increasing availability of mobile internet and GPS-supported mobile phones, however, now provides the basis for addressing this issue. The SPACER project was commissioned by the Rapid Innovation initiative of the UK Joint Information Systems Committee (JISC) to explore the potential for GPS-enabled mobile phones to access geoscientific metadata collections. Metadata collections within the geosciences and the wider geospatial domain can be disseminated through web services based on the Catalogue Service for Web(CSW) standard of the Open Geospatial Consortium (OGC) - a global grouping of over 380 private, public and academic organisations aiming to improve interoperability between geospatial technologies. CSW offers an XML-over-HTTP interface for querying and retrieval of geospatial metadata. By default, the metadata returned by CSW is based on the ISO19115 standard and encoded in XML conformant to ISO19139. The SPACER project has created a prototype application that enables mobile phones to send queries to CSW containing user-defined keywords and coordinates acquired from GPS devices built-into the phones. The prototype has been developed using the free and open source Google Android platform. The mobile application offers views for listing titles, presenting multiple metadata elements and a Google Map with an overlay of bounding coordinates of datasets. The presentation will describe the architecture and approach applied in the development of the prototype.

  17. High-performance metadata indexing and search in petascale data storage systems

    NASA Astrophysics Data System (ADS)

    Leung, A. W.; Shao, M.; Bisson, T.; Pasupathy, S.; Miller, E. L.

    2008-07-01

    Large-scale storage systems used for scientific applications can store petabytes of data and billions of files, making the organization and management of data in these systems a difficult, time-consuming task. The ability to search file metadata in a storage system can address this problem by allowing scientists to quickly navigate experiment data and code while allowing storage administrators to gather the information they need to properly manage the system. In this paper, we present Spyglass, a file metadata search system that achieves scalability by exploiting storage system properties, providing the scalability that existing file metadata search tools lack. In doing so, Spyglass can achieve search performance up to several thousand times faster than existing database solutions. We show that Spyglass enables important functionality that can aid data management for scientists and storage administrators.

  18. Utilizing Linked Open Data Sources for Automatic Generation of Semantic Metadata

    NASA Astrophysics Data System (ADS)

    Nummiaho, Antti; Vainikainen, Sari; Melin, Magnus

    In this paper we present an application that can be used to automatically generate semantic metadata for tags given as simple keywords. The application that we have implemented in Java programming language creates the semantic metadata by linking the tags to concepts in different semantic knowledge bases (CrunchBase, DBpedia, Freebase, KOKO, Opencyc, Umbel and/or WordNet). The steps that our application takes in doing so include detecting possible languages, finding spelling suggestions and finding meanings from amongst the proper nouns and common nouns separately. Currently, our application supports English, Finnish and Swedish words, but other languages could be included easily if the required lexical tools (spellcheckers, etc.) are available. The created semantic metadata can be of great use in, e.g., finding and combining similar contents, creating recommendations and targeting advertisements.

  19. Use of a metadata documentation and search tool for large data volumes: The NGEE arctic example

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Devarakonda, Ranjeet; Hook, Leslie A; Killeffer, Terri S

    The Online Metadata Editor (OME) is a web-based tool to help document scientific data in a well-structured, popular scientific metadata format. In this paper, we will discuss the newest tool that Oak Ridge National Laboratory (ORNL) has developed to generate, edit, and manage metadata and how it is helping data-intensive science centers and projects, such as the U.S. Department of Energy s Next Generation Ecosystem Experiments (NGEE) in the Arctic to prepare metadata and make their big data produce big science and lead to new discoveries.

  20. Operational Support for Instrument Stability through ODI-PPA Metadata Visualization and Analysis

    NASA Astrophysics Data System (ADS)

    Young, M. D.; Hayashi, S.; Gopu, A.; Kotulla, R.; Harbeck, D.; Liu, W.

    2015-09-01

    Over long time scales, quality assurance metrics taken from calibration and calibrated data products can aid observatory operations in quantifying the performance and stability of the instrument, and identify potential areas of concern or guide troubleshooting and engineering efforts. Such methods traditionally require manual SQL entries, assuming the requisite metadata has even been ingested into a database. With the ODI-PPA system, QA metadata has been harvested and indexed for all data products produced over the life of the instrument. In this paper we will describe how, utilizing the industry standard Highcharts Javascript charting package with a customized AngularJS-driven user interface, we have made the process of visualizing the long-term behavior of these QA metadata simple and easily replicated. Operators can easily craft a custom query using the powerful and flexible ODI-PPA search interface and visualize the associated metadata in a variety of ways. These customized visualizations can be bookmarked, shared, or embedded externally, and will be dynamically updated as new data products enter the system, enabling operators to monitor the long-term health of their instrument with ease.

  1. The Challenges in Metadata Management: 20+ Years of ESO Data

    NASA Astrophysics Data System (ADS)

    Vera, I.; Da Rocha, C.; Dobrzycki, A.; Micol, A.; Vuong, M.

    2015-09-01

    The European Southern Observatory Science Archive Facility has been in operations for more than 20 years. It contains data produced by ESO telescopes as well as the metadata needed for characterizing and distributing those data. This metadata is used to build the different archive services provided by the Archive. Over these years, services have been added, modified or even decommissioned creating a cocktail of new, evolved and legacy data systems. The challenge for the Archive is to harmonize the differences of those data systems to provide the community with a homogeneous experience when using ESO data. In this paper, we present ESO experience in three particular challenging areas. First discussion is dedicated to the problem of metadata quality over the time, second discusses how to integrate obsolete data models on the current services and finally we will present the challenges of ever growing databases. We describe our experience dealing with those issues and the solutions adopted to mitigate them.

  2. Report from the International Conference on Dublin Core and Metadata Applications, 2001.

    ERIC Educational Resources Information Center

    Sugimoto, Shigeo; Adachi, Jun; Baker, Thomas; Weibel, Stuart

    This paper describes the International Conference on Dublin Core and Metadata Applications 2001 (DC-2001), the ninth major workshop of the Dublin Core Metadata Initiative (DCMI), which was held in Tokyo in October 2001. DC-2001 was a week-long event that included both a workshop and a conference. In the tradition of previous events, the workshop…

  3. The International Learning Object Metadata Survey

    ERIC Educational Resources Information Center

    Friesen, Norm

    2004-01-01

    A wide range of projects and organizations is currently making digital learning resources (learning objects) available to instructors, students, and designers via systematic, standards-based infrastructures. One standard that is central to many of these efforts and infrastructures is known as Learning Object Metadata (IEEE 1484.12.1-2002, or LOM).…

  4. CellML metadata standards, associated tools and repositories

    PubMed Central

    Beard, Daniel A.; Britten, Randall; Cooling, Mike T.; Garny, Alan; Halstead, Matt D.B.; Hunter, Peter J.; Lawson, James; Lloyd, Catherine M.; Marsh, Justin; Miller, Andrew; Nickerson, David P.; Nielsen, Poul M.F.; Nomura, Taishin; Subramanium, Shankar; Wimalaratne, Sarala M.; Yu, Tommy

    2009-01-01

    The development of standards for encoding mathematical models is an important component of model building and model sharing among scientists interested in understanding multi-scale physiological processes. CellML provides such a standard, particularly for models based on biophysical mechanisms, and a substantial number of models are now available in the CellML Model Repository. However, there is an urgent need to extend the current CellML metadata standard to provide biological and biophysical annotation of the models in order to facilitate model sharing, automated model reduction and connection to biological databases. This paper gives a broad overview of a number of new developments on CellML metadata and provides links to further methodological details available from the CellML website. PMID:19380315

  5. A Grid Metadata Service for Earth and Environmental Sciences

    NASA Astrophysics Data System (ADS)

    Fiore, Sandro; Negro, Alessandro; Aloisio, Giovanni

    2010-05-01

    Critical challenges for climate modeling researchers are strongly connected with the increasingly complex simulation models and the huge quantities of produced datasets. Future trends in climate modeling will only increase computational and storage requirements. For this reason the ability to transparently access to both computational and data resources for large-scale complex climate simulations must be considered as a key requirement for Earth Science and Environmental distributed systems. From the data management perspective (i) the quantity of data will continuously increases, (ii) data will become more and more distributed and widespread, (iii) data sharing/federation will represent a key challenging issue among different sites distributed worldwide, (iv) the potential community of users (large and heterogeneous) will be interested in discovery experimental results, searching of metadata, browsing collections of files, compare different results, display output, etc.; A key element to carry out data search and discovery, manage and access huge and distributed amount of data is the metadata handling framework. What we propose for the management of distributed datasets is the GRelC service (a data grid solution focusing on metadata management). Despite the classical approaches, the proposed data-grid solution is able to address scalability, transparency, security and efficiency and interoperability. The GRelC service we propose is able to provide access to metadata stored in different and widespread data sources (relational databases running on top of MySQL, Oracle, DB2, etc. leveraging SQL as query language, as well as XML databases - XIndice, eXist, and libxml2 based documents, adopting either XPath or XQuery) providing a strong data virtualization layer in a grid environment. Such a technological solution for distributed metadata management leverages on well known adopted standards (W3C, OASIS, etc.); (ii) supports role-based management (based on VOMS), which

  6. Characterization of Educational Resources in e-Learning Systems Using an Educational Metadata Profile

    ERIC Educational Resources Information Center

    Solomou, Georgia; Pierrakeas, Christos; Kameas, Achilles

    2015-01-01

    The ability to effectively administrate educational resources in terms of accessibility, reusability and interoperability lies in the adoption of an appropriate metadata schema, able of adequately describing them. A considerable number of different educational metadata schemas can be found in literature, with the IEEE LOM being the most widely…

  7. Transformation of HDF-EOS metadata from the ECS model to ISO 19115-based XML

    NASA Astrophysics Data System (ADS)

    Wei, Yaxing; Di, Liping; Zhao, Baohua; Liao, Guangxuan; Chen, Aijun

    2007-02-01

    Nowadays, geographic data, such as NASA's Earth Observation System (EOS) data, are playing an increasing role in many areas, including academic research, government decisions and even in people's every lives. As the quantity of geographic data becomes increasingly large, a major problem is how to fully make use of such data in a distributed, heterogeneous network environment. In order for a user to effectively discover and retrieve the specific information that is useful, the geographic metadata should be described and managed properly. Fortunately, the emergence of XML and Web Services technologies greatly promotes information distribution across the Internet. The research effort discussed in this paper presents a method and its implementation for transforming Hierarchical Data Format (HDF)-EOS metadata from the NASA ECS model to ISO 19115-based XML, which will be managed by the Open Geospatial Consortium (OGC) Catalogue Services—Web Profile (CSW). Using XML and international standards rather than domain-specific models to describe the metadata of those HDF-EOS data, and further using CSW to manage the metadata, can allow metadata information to be searched and interchanged more widely and easily, thus promoting the sharing of HDF-EOS data.

  8. The Benefits and Future of Standards: Metadata and Beyond

    NASA Astrophysics Data System (ADS)

    Stracke, Christian M.

    This article discusses the benefits and future of standards and presents the generic multi-dimensional Reference Model. First the importance and the tasks of interoperability as well as quality development and their relationship are analyzed. Especially in e-Learning their connection and interdependence is evident: Interoperability is one basic requirement for quality development. In this paper, it is shown how standards and specifications are supporting these crucial issues. The upcoming ISO metadata standard MLR (Metadata for Learning Resource) will be introduced and used as example for identifying the requirements and needs for future standardization. In conclusion a vision of the challenges and potentials for e-Learning standardization is outlined.

  9. HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings

    PubMed Central

    VanDam, Mark; Warlaumont, Anne S.; Bergelson, Elika; Cristia, Alejandrina; Soderstrom, Melanie; De Palma, Paul; MacWhinney, Brian

    2017-01-01

    HomeBank is introduced here. It is a public, permanent, extensible, online database of daylong audio recorded in naturalistic environments. HomeBank serves two primary purposes. First, it is a repository for raw audio and associated files: one database requires special permissions, and another redacted database allows unrestricted public access. Associated files include metadata such as participant demographics and clinical diagnostics, automated annotations, and human-generated transcriptions and annotations. Many recordings use the child-perspective LENA recorders (LENA Research Foundation, Boulder, Colorado, United States), but various recordings and metadata can be accommodated. The HomeBank database can have both vetted and unvetted recordings, with different levels of accessibility. Additionally, HomeBank is an open repository for processing and analysis tools for HomeBank or similar data sets. HomeBank is flexible for users and contributors, making primary data available to researchers, especially those in child development, linguistics, and audio engineering. HomeBank facilitates researchers’ access to large-scale data and tools, linking the acoustic, auditory, and linguistic characteristics of children’s environments with a variety of variables including socioeconomic status, family characteristics, language trajectories, and disorders. Automated processing applied to daylong home audio recordings is now becoming widely used in early intervention initiatives, helping parents to provide richer speech input to at-risk children. PMID:27111272

  10. Why can't I manage my digital images like MP3s? The evolution and intent of multimedia metadata

    NASA Astrophysics Data System (ADS)

    Goodrum, Abby; Howison, James

    2005-01-01

    This paper considers the deceptively simple question: Why can't digital images be managed in the simple and effective manner in which digital music files are managed? We make the case that the answer is different treatments of metadata in different domains with different goals. A central difference between the two formats stems from the fact that digital music metadata lookup services are collaborative and automate the movement from a digital file to the appropriate metadata, while image metadata services do not. To understand why this difference exists we examine the divergent evolution of metadata standards for digital music and digital images and observed that the processes differ in interesting ways according to their intent. Specifically music metadata was developed primarily for personal file management and community resource sharing, while the focus of image metadata has largely been on information retrieval. We argue that lessons from MP3 metadata can assist individuals facing their growing personal image management challenges. Our focus therefore is not on metadata for cultural heritage institutions or the publishing industry, it is limited to the personal libraries growing on our hard-drives. This bottom-up approach to file management combined with p2p distribution radically altered the music landscape. Might such an approach have a similar impact on image publishing? This paper outlines plans for improving the personal management of digital images-doing image metadata and file management the MP3 way-and considers the likelihood of success.

  11. Why can't I manage my digital images like MP3s? The evolution and intent of multimedia metadata

    NASA Astrophysics Data System (ADS)

    Goodrum, Abby; Howison, James

    2004-12-01

    This paper considers the deceptively simple question: Why can"t digital images be managed in the simple and effective manner in which digital music files are managed? We make the case that the answer is different treatments of metadata in different domains with different goals. A central difference between the two formats stems from the fact that digital music metadata lookup services are collaborative and automate the movement from a digital file to the appropriate metadata, while image metadata services do not. To understand why this difference exists we examine the divergent evolution of metadata standards for digital music and digital images and observed that the processes differ in interesting ways according to their intent. Specifically music metadata was developed primarily for personal file management and community resource sharing, while the focus of image metadata has largely been on information retrieval. We argue that lessons from MP3 metadata can assist individuals facing their growing personal image management challenges. Our focus therefore is not on metadata for cultural heritage institutions or the publishing industry, it is limited to the personal libraries growing on our hard-drives. This bottom-up approach to file management combined with p2p distribution radically altered the music landscape. Might such an approach have a similar impact on image publishing? This paper outlines plans for improving the personal management of digital images-doing image metadata and file management the MP3 way-and considers the likelihood of success.

  12. Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracy

    PubMed Central

    Alexopoulou, Dimitra; Andreopoulos, Bill; Dietze, Heiko; Doms, Andreas; Gandon, Fabien; Hakenberg, Jörg; Khelif, Khaled; Schroeder, Michael; Wächter, Thomas

    2009-01-01

    Background Ontology term labels can be ambiguous and have multiple senses. While this is no problem for human annotators, it is a challenge to automated methods, which identify ontology terms in text. Classical approaches to word sense disambiguation use co-occurring words or terms. However, most treat ontologies as simple terminologies, without making use of the ontology structure or the semantic similarity between terms. Another useful source of information for disambiguation are metadata. Here, we systematically compare three approaches to word sense disambiguation, which use ontologies and metadata, respectively. Results The 'Closest Sense' method assumes that the ontology defines multiple senses of the term. It computes the shortest path of co-occurring terms in the document to one of these senses. The 'Term Cooc' method defines a log-odds ratio for co-occurring terms including co-occurrences inferred from the ontology structure. The 'MetaData' approach trains a classifier on metadata. It does not require any ontology, but requires training data, which the other methods do not. To evaluate these approaches we defined a manually curated training corpus of 2600 documents for seven ambiguous terms from the Gene Ontology and MeSH. All approaches over all conditions achieve 80% success rate on average. The 'MetaData' approach performed best with 96%, when trained on high-quality data. Its performance deteriorates as quality of the training data decreases. The 'Term Cooc' approach performs better on Gene Ontology (92% success) than on MeSH (73% success) as MeSH is not a strict is-a/part-of, but rather a loose is-related-to hierarchy. The 'Closest Sense' approach achieves on average 80% success rate. Conclusion Metadata is valuable for disambiguation, but requires high quality training data. Closest Sense requires no training, but a large, consistently modelled ontology, which are two opposing conditions. Term Cooc achieves greater 90% success given a consistently

  13. Organizing Scientific Data Sets: Studying Similarities and Differences in Metadata and Subject Term Creation

    ERIC Educational Resources Information Center

    White, Hollie C.

    2012-01-01

    Background: According to Salo (2010), the metadata entered into repositories are "disorganized" and metadata schemes underlying repositories are "arcane". This creates a challenging repository environment in regards to personal information management (PIM) and knowledge organization systems (KOSs). This dissertation research is…

  14. Metadata: Pure and Simple, or Is It?

    ERIC Educational Resources Information Center

    Chalmers, Marilyn

    2002-01-01

    Discusses issues concerning metadata in Web pages based on experiences in a vocational education center library in Queensland (Australia). Highlights include Dublin Core elements; search engines; controlled vocabulary; performance measurement to assess usage patterns and provide quality control over the vocabulary; and considerations given the…

  15. Digital Preservation and Metadata: History, Theory, Practice.

    ERIC Educational Resources Information Center

    Lazinger, Susan S.

    This book addresses critical issues of digital preservation, providing guidelines for protecting resources from dealing with obsolescence, to responsibilities, methods of preservation, cost, and metadata formats. It also shows numerous national and international institutions that provide frameworks for digital libraries and archives. The first…

  16. Grounding Abstractness: Abstract Concepts and the Activation of the Mouth

    PubMed Central

    Borghi, Anna M.; Zarcone, Edoardo

    2016-01-01

    One key issue for theories of cognition is how abstract concepts, such as freedom, are represented. According to the WAT (Words As social Tools) proposal, abstract concepts activate both sensorimotor and linguistic/social information, and their acquisition modality involves the linguistic experience more than the acquisition of concrete concepts. We report an experiment in which participants were presented with abstract and concrete definitions followed by concrete and abstract target-words. When the definition and the word matched, participants were required to press a key, either with the hand or with the mouth. Response times and accuracy were recorded. As predicted, we found that abstract definitions and abstract words yielded slower responses and more errors compared to concrete definitions and concrete words. More crucially, there was an interaction between the target-words and the effector used to respond (hand, mouth). While responses with the mouth were overall slower, the advantage of the hand over the mouth responses was more marked with concrete than with abstract concepts. The results are in keeping with grounded and embodied theories of cognition and support the WAT proposal, according to which abstract concepts evoke linguistic-social information, hence activate the mouth. The mechanisms underlying the mouth activation with abstract concepts (re-enactment of acquisition experience, or re-explanation of the word meaning, possibly through inner talk) are discussed. To our knowledge this is the first behavioral study demonstrating with real words that the advantage of the hand over the mouth is more marked with concrete than with abstract concepts, likely because of the activation of linguistic information with abstract concepts. PMID:27777563

  17. Deploying the ATLAS Metadata Interface (AMI) on the cloud with Jenkins

    NASA Astrophysics Data System (ADS)

    Lambert, F.; Odier, J.; Fulachier, J.; ATLAS Collaboration

    2017-10-01

    The ATLAS Metadata Interface (AMI) is a mature application of more than 15 years of existence. Mainly used by the ATLAS experiment at CERN, it consists of a very generic tool ecosystem for metadata aggregation and cataloguing. AMI is used by the ATLAS production system, therefore the service must guarantee a high level of availability. We describe our monitoring and administration systems, and the Jenkins-based strategy used to dynamically test and deploy cloud OpenStack nodes on demand.

  18. Discovery of Marine Datasets and Geospatial Metadata Visualization

    NASA Astrophysics Data System (ADS)

    Schwehr, K. D.; Brennan, R. T.; Sellars, J.; Smith, S.

    2009-12-01

    NOAA's National Geophysical Data Center (NGDC) provides the deep archive of US multibeam sonar hydrographic surveys. NOAA stores the data as Bathymetric Attributed Grids (BAG; http://www.opennavsurf.org/) that are HDF5 formatted files containing gridded bathymetry, gridded uncertainty, and XML metadata. While NGDC provides the deep store and a basic ERSI ArcIMS interface to the data, additional tools need to be created to increase the frequency with which researchers discover hydrographic surveys that might be beneficial for their research. Using Open Source tools, we have created a draft of a Google Earth visualization of NOAA's complete collection of BAG files as of March 2009. Each survey is represented as a bounding box, an optional preview image of the survey data, and a pop up placemark. The placemark contains a brief summary of the metadata and links to directly download of the BAG survey files and the complete metadata file. Each survey is time tagged so that users can search both in space and time for surveys that meet their needs. By creating this visualization, we aim to make the entire process of data discovery, validation of relevance, and download much more efficient for research scientists who may not be familiar with NOAA's hydrographic survey efforts or the BAG format. In the process of creating this demonstration, we have identified a number of improvements that can be made to the hydrographic survey process in order to make the results easier to use especially with respect to metadata generation. With the combination of the NGDC deep archiving infrastructure, a Google Earth virtual globe visualization, and GeoRSS feeds of updates, we hope to increase the utilization of these high-quality gridded bathymetry. This workflow applies equally well to LIDAR topography and bathymetry. Additionally, with proper referencing and geotagging in journal publications, we hope to close the loop and help the community create a true “Geospatial Scholar

  19. Inconsistencies between Academic E-Book Platforms: A Comparison of Metadata and Search Results

    ERIC Educational Resources Information Center

    Wiersma, Gabrielle; Tovstiadi, Esta

    2017-01-01

    This article presents the results of a study of academic e-books that compared the metadata and search results from major academic e-book platforms. The authors collected data and performed a series of test searches designed to produce the same result regardless of platform. Testing, however, revealed metadata-related errors and significant…

  20. The Ontological Perspectives of the Semantic Web and the Metadata Harvesting Protocol: Applications of Metadata for Improving Web Search.

    ERIC Educational Resources Information Center

    Fast, Karl V.; Campbell, D. Grant

    2001-01-01

    Compares the implied ontological frameworks of the Open Archives Initiative Protocol for Metadata Harvesting and the World Wide Web Consortium's Semantic Web. Discusses current search engine technology, semantic markup, indexing principles of special libraries and online databases, and componentization and the distinction between data and…

  1. Integrating XQuery-Enabled SCORM XML Metadata Repositories into an RDF-Based E-Learning P2P Network

    ERIC Educational Resources Information Center

    Qu, Changtao; Nejdl, Wolfgang

    2004-01-01

    Edutella is an RDF-based E-Learning P2P network that is aimed to accommodate heterogeneous learning resource metadata repositories in a P2P manner and further facilitate the exchange of metadata between these repositories based on RDF. Whereas Edutella provides RDF metadata repositories with a quite natural integration approach, XML metadata…

  2. The Value of Data and Metadata Standardization for Interoperability in Giovanni

    NASA Astrophysics Data System (ADS)

    Smit, C.; Hegde, M.; Strub, R. F.; Bryant, K.; Li, A.; Petrenko, M.

    2017-12-01

    Giovanni (https://giovanni.gsfc.nasa.gov/giovanni/) is a data exploration and visualization tool at the NASA Goddard Earth Sciences Data Information Services Center (GES DISC). It has been around in one form or another for more than 15 years. Giovanni calculates simple statistics and produces 22 different visualizations for more than 1600 geophysical parameters from more than 90 satellite and model products. Giovanni relies on external data format standards to ensure interoperability, including the NetCDF CF Metadata Conventions. Unfortunately, these standards were insufficient to make Giovanni's internal data representation truly simple to use. Finding and working with dimensions can be convoluted with the CF Conventions. Furthermore, the CF Conventions are silent on machine-friendly descriptive metadata such as the parameter's source product and product version. In order to simplify analyzing disparate earth science data parameters in a unified way, we developed Giovanni's internal standard. First, the format standardizes parameter dimensions and variables so they can be easily found. Second, the format adds all the machine-friendly metadata Giovanni needs to present our parameters to users in a consistent and clear manner. At a glance, users can grasp all the pertinent information about parameters both during parameter selection and after visualization. This poster gives examples of how our metadata and data standards, both external and internal, have both simplified our code base and improved our users' experiences.

  3. The Planetary Data System Information Model for Geometry Metadata

    NASA Astrophysics Data System (ADS)

    Guinness, E. A.; Gordon, M. K.

    2014-12-01

    The NASA Planetary Data System (PDS) has recently developed a new set of archiving standards based on a rigorously defined information model. An important part of the new PDS information model is the model for geometry metadata, which includes, for example, attributes of the lighting and viewing angles of observations, position and velocity vectors of a spacecraft relative to Sun and observing body at the time of observation and the location and orientation of an observation on the target. The PDS geometry model is based on requirements gathered from the planetary research community, data producers, and software engineers who build search tools. A key requirement for the model is that it fully supports the breadth of PDS archives that include a wide range of data types from missions and instruments observing many types of solar system bodies such as planets, ring systems, and smaller bodies (moons, comets, and asteroids). Thus, important design aspects of the geometry model are that it standardizes the definition of the geometry attributes and provides consistency of geometry metadata across planetary science disciplines. The model specification also includes parameters so that the context of values can be unambiguously interpreted. For example, the reference frame used for specifying geographic locations on a planetary body is explicitly included with the other geometry metadata parameters. The structure and content of the new PDS geometry model is designed to enable both science analysis and efficient development of search tools. The geometry model is implemented in XML, as is the main PDS information model, and uses XML schema for validation. The initial version of the geometry model is focused on geometry for remote sensing observations conducted by flyby and orbiting spacecraft. Future releases of the PDS geometry model will be expanded to include metadata for landed and rover spacecraft.

  4. DOIDB: Reusing DataCite's search software as metadata portal for GFZ Data Services

    NASA Astrophysics Data System (ADS)

    Elger, K.; Ulbricht, D.; Bertelmann, R.

    2016-12-01

    GFZ Data Services is the central service point for the publication of research data at the Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences (GFZ). It provides data publishing services to scientists of GFZ, associated projects, and associated institutions. The publishing services aim to make research data and physical samples visible and citable, by assigning persistent identifiers (DOI, IGSN) and by complementing existing IT infrastructure. To integrate several research domains a modular software stack that is made of free software components has been created to manage data and metadata as well as register persistent identifiers [1]. Pivotal component for the registration of DOIs is the DOIDB. It has been derived from three software components provided by DataCite [2] that moderate the registration of DOIs and the deposition of metadata, allow the dissemination of metadata, and provide a user interface to navigate and discover datasets. The DOIDB acts as a proxy to the DataCite infrastructure and in addition to the DataCite metadata schema, it allows to deposit and disseminate metadata following the schemas ISO19139 and NASA GCMD DIF. The search component has been modified to meet the requirements of a geosciences metadata portal. In particular, the search component has been altered to make use of Apache SOLRs capability to index and query spatial coordinates. Furthermore, the user interface has been adjusted to provide a first impression of the data by showing a map, summary information and subjects. DOIDB and its components are available on GitHub [3].We present a software solution for registration of DOIs that allows to integrate existing data systems, keeps track of registered DOIs, and provides a metadata portal to discover datasets [4]. [1] Ulbricht, D.; Elger, K.; Bertelmann, R.; Klump, J. panMetaDocs, eSciDoc, and DOIDB—An Infrastructure for the Curation and Publication of File-Based Datasets for GFZ Data Services. ISPRS Int. J. Geo

  5. An Overview of Tools for Creating, Validating and Using PDS Metadata

    NASA Astrophysics Data System (ADS)

    King, T. A.; Hardman, S. H.; Padams, J.; Mafi, J. N.; Cecconi, B.

    2017-12-01

    NASA's Planetary Data System (PDS) has defined information models for creating metadata to describe bundles, collections and products for all the assets acquired by a planetary science projects. Version 3 of the PDS Information Model (commonly known as "PDS3") is widely used and is used to describe most of the existing planetary archive. Recently PDS has released version 4 of the Information Model (commonly known as "PDS4") which is designed to improve consistency, efficiency and discoverability of information. To aid in creating, validating and using PDS4 metadata the PDS and a few associated groups have developed a variety of tools. In addition, some commercial tools, both free and for a fee, can be used to create and work with PDS4 metadata. We present an overview of these tools, describe those tools currently under development and provide guidance as to which tools may be most useful for missions, instrument teams and the individual researcher.

  6. Semantic technologies improving the recall and precision of the Mercury metadata search engine

    NASA Astrophysics Data System (ADS)

    Pouchard, L. C.; Cook, R. B.; Green, J.; Palanisamy, G.; Noy, N.

    2011-12-01

    The Mercury federated metadata system [1] was developed at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), a NASA-sponsored effort holding datasets about biogeochemical dynamics, ecological data, and environmental processes. Mercury currently indexes over 100,000 records from several data providers conforming to community standards, e.g. EML, FGDC, FGDC Biological Profile, ISO 19115 and DIF. With the breadth of sciences represented in Mercury, the potential exists to address some key interdisciplinary scientific challenges related to climate change, its environmental and ecological impacts, and mitigation of these impacts. However, this wealth of metadata also hinders pinpointing datasets relevant to a particular inquiry. We implemented a semantic solution after concluding that traditional search approaches cannot improve the accuracy of the search results in this domain because: a) unlike everyday queries, scientific queries seek to return specific datasets with numerous parameters that may or may not be exposed to search (Deep Web queries); b) the relevance of a dataset cannot be judged by its popularity, as each scientific inquiry tends to be unique; and c)each domain science has its own terminology, more or less curated, consensual, and standardized depending on the domain. The same terms may refer to different concepts across domains (homonyms), but different terms mean the same thing (synonyms). Interdisciplinary research is arduous because an expert in a domain must become fluent in the language of another, just to find relevant datasets. Thus, we decided to use scientific ontologies because they can provide a context for a free-text search, in a way that string-based keywords never will. With added context, relevant datasets are more easily discoverable. To enable search and programmatic access to ontology entities in Mercury, we are using an instance of the BioPortal ontology repository. Mercury accesses ontology entities

  7. Metadata mapping and reuse in caBIG™

    PubMed Central

    Kunz, Isaac; Lin, Ming-Chin; Frey, Lewis

    2009-01-01

    Background This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facilitate the building domain models. This is examined in the context of an existing system, the National Cancer Institute (NCI)'s cancer Biomedical Informatics Grid (caBIG™). The goal is to demonstrate the deployment of open source tools that can be used to effectively map models and enable the reuse of existing information objects and CDEs in the development of new models for translational research applications. This effort is intended to help developers reuse appropriate CDEs to enable interoperability of their systems when developing within the caBIG™ framework or other frameworks that use metadata repositories. Results The Dice (di-grams) and Dynamic algorithms are compared and both algorithms have similar performance matching UML model class-attributes to CDE class object-property pairs. With algorithms used, the baselines for automatically finding the matches are reasonable for the data models examined. It suggests that automatic mapping of UML models and CDEs is feasible within the caBIG™ framework and potentially any framework that uses a metadata repository. Conclusion This work opens up the possibility of using mapping algorithms to reduce cost and time required to map local data models to a reference data model such as those used within caBIG™. This effort contributes to facilitating the development of interoperable systems within caBIG™ as well as other metadata frameworks. Such efforts are critical to address the need to develop systems to handle enormous amounts of diverse data that can be leveraged from new biomedical methodologies. PMID:19208192

  8. Metadata mapping and reuse in caBIG.

    PubMed

    Kunz, Isaac; Lin, Ming-Chin; Frey, Lewis

    2009-02-05

    This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facilitate the building domain models. This is examined in the context of an existing system, the National Cancer Institute (NCI)'s cancer Biomedical Informatics Grid (caBIG). The goal is to demonstrate the deployment of open source tools that can be used to effectively map models and enable the reuse of existing information objects and CDEs in the development of new models for translational research applications. This effort is intended to help developers reuse appropriate CDEs to enable interoperability of their systems when developing within the caBIG framework or other frameworks that use metadata repositories. The Dice (di-grams) and Dynamic algorithms are compared and both algorithms have similar performance matching UML model class-attributes to CDE class object-property pairs. With algorithms used, the baselines for automatically finding the matches are reasonable for the data models examined. It suggests that automatic mapping of UML models and CDEs is feasible within the caBIG framework and potentially any framework that uses a metadata repository. This work opens up the possibility of using mapping algorithms to reduce cost and time required to map local data models to a reference data model such as those used within caBIG. This effort contributes to facilitating the development of interoperable systems within caBIG as well as other metadata frameworks. Such efforts are critical to address the need to develop systems to handle enormous amounts of diverse data that can be leveraged from new biomedical methodologies.

  9. linkedISA: semantic representation of ISA-Tab experimental metadata.

    PubMed

    González-Beltrán, Alejandra; Maguire, Eamonn; Sansone, Susanna-Assunta; Rocca-Serra, Philippe

    2014-01-01

    Reporting and sharing experimental metadata- such as the experimental design, characteristics of the samples, and procedures applied, along with the analysis results, in a standardised manner ensures that datasets are comprehensible and, in principle, reproducible, comparable and reusable. Furthermore, sharing datasets in formats designed for consumption by humans and machines will also maximize their use. The Investigation/Study/Assay (ISA) open source metadata tracking framework facilitates standards-compliant collection, curation, visualization, storage and sharing of datasets, leveraging on other platforms to enable analysis and publication. The ISA software suite includes several components used in increasingly diverse set of life science and biomedical domains; it is underpinned by a general-purpose format, ISA-Tab, and conversions exist into formats required by public repositories. While ISA-Tab works well mainly as a human readable format, we have also implemented a linked data approach to semantically define the ISA-Tab syntax. We present a semantic web representation of the ISA-Tab syntax that complements ISA-Tab's syntactic interoperability with semantic interoperability. We introduce the linkedISA conversion tool from ISA-Tab to the Resource Description Framework (RDF), supporting mappings from the ISA syntax to multiple community-defined, open ontologies and capitalising on user-provided ontology annotations in the experimental metadata. We describe insights of the implementation and how annotations can be expanded driven by the metadata. We applied the conversion tool as part of Bio-GraphIIn, a web-based application supporting integration of the semantically-rich experimental descriptions. Designed in a user-friendly manner, the Bio-GraphIIn interface hides most of the complexities to the users, exposing a familiar tabular view of the experimental description to allow seamless interaction with the RDF representation, and visualising descriptors to

  10. Building a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies.

    PubMed

    Sharma, Deepak K; Solbrig, Harold R; Tao, Cui; Weng, Chunhua; Chute, Christopher G; Jiang, Guoqian

    2017-06-05

    Detailed Clinical Models (DCMs) have been regarded as the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. To better support clinical cancer data capturing and reporting, there is an emerging need to develop informatics solutions for standards-based clinical models in cancer study domains. The objective of the study is to develop and evaluate a cancer genome study metadata management system that serves as a key infrastructure in supporting clinical information modeling in cancer genome study domains. We leveraged a Semantic Web-based metadata repository enhanced with both ISO11179 metadata standard and Clinical Information Modeling Initiative (CIMI) Reference Model. We used the common data elements (CDEs) defined in The Cancer Genome Atlas (TCGA) data dictionary, and extracted the metadata of the CDEs using the NCI Cancer Data Standards Repository (caDSR) CDE dataset rendered in the Resource Description Framework (RDF). The ITEM/ITEM_GROUP pattern defined in the latest CIMI Reference Model is used to represent reusable model elements (mini-Archetypes). We produced a metadata repository with 38 clinical cancer genome study domains, comprising a rich collection of mini-Archetype pattern instances. We performed a case study of the domain "clinical pharmaceutical" in the TCGA data dictionary and demonstrated enriched data elements in the metadata repository are very useful in support of building detailed clinical models. Our informatics approach leveraging Semantic Web technologies provides an effective way to build a CIMI-compliant metadata repository that would facilitate the detailed clinical modeling to support use cases beyond TCGA in clinical cancer study domains.

  11. iLOG: A Framework for Automatic Annotation of Learning Objects with Empirical Usage Metadata

    ERIC Educational Resources Information Center

    Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen

    2012-01-01

    Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…

  12. A Rich Metadata Filesystem for Scientific Data

    ERIC Educational Resources Information Center

    Bui, Hoang

    2012-01-01

    As scientific research becomes more data intensive, there is an increasing need for scalable, reliable, and high performance storage systems. Such data repositories must provide both data archival services and rich metadata, and cleanly integrate with large scale computing resources. ROARS is a hybrid approach to distributed storage that provides…

  13. Tracking Actual Usage: The Attention Metadata Approach

    ERIC Educational Resources Information Center

    Wolpers, Martin; Najjar, Jehad; Verbert, Katrien; Duval, Erik

    2007-01-01

    The information overload in learning and teaching scenarios is a main hindering factor for efficient and effective learning. New methods are needed to help teachers and students in dealing with the vast amount of available information and learning material. Our approach aims to utilize contextualized attention metadata to capture behavioural…

  14. Metadata registry and management system based on ISO 11179 for cancer clinical trials information system

    PubMed Central

    Park, Yu Rang; Kim*, Ju Han

    2006-01-01

    Standardized management of data elements (DEs) for Case Report Form (CRF) is crucial in Clinical Trials Information System (CTIS). Traditional CTISs utilize organization-specific definitions and storage methods for Des and CRFs. We developed metadata-based DE management system for clinical trials, Clinical and Histopathological Metadata Registry (CHMR), using international standard for metadata registry (ISO 11179) for the management of cancer clinical trials information. CHMR was evaluated in cancer clinical trials with 1625 DEs extracted from the College of American Pathologists Cancer Protocols for 20 major cancers. PMID:17238675

  15. Evolution of Web Services in EOSDIS: Search and Order Metadata Registry (ECHO)

    NASA Technical Reports Server (NTRS)

    Mitchell, Andrew; Ramapriyan, Hampapuram; Lowe, Dawn

    2009-01-01

    During 2005 through 2008, NASA defined and implemented a major evolutionary change in it Earth Observing system Data and Information System (EOSDIS) to modernize its capabilities. This implementation was based on a vision for 2015 developed during 2005. The EOSDIS 2015 Vision emphasizes increased end-to-end data system efficiency and operability; increased data usability; improved support for end users; and decreased operations costs. One key feature of the Evolution plan was achieving higher operational maturity (ingest, reconciliation, search and order, performance, error handling) for the NASA s Earth Observing System Clearinghouse (ECHO). The ECHO system is an operational metadata registry through which the scientific community can easily discover and exchange NASA's Earth science data and services. ECHO contains metadata for 2,726 data collections comprising over 87 million individual data granules and 34 million browse images, consisting of NASA s EOSDIS Data Centers and the United States Geological Survey's Landsat Project holdings. ECHO is a middleware component based on a Service Oriented Architecture (SOA). The system is comprised of a set of infrastructure services that enable the fundamental SOA functions: publish, discover, and access Earth science resources. It also provides additional services such as user management, data access control, and order management. The ECHO system has a data registry and a services registry. The data registry enables organizations to publish EOS and other Earth-science related data holdings to a common metadata model. These holdings are described through metadata in terms of datasets (types of data) and granules (specific data items of those types). ECHO also supports browse images, which provide a visual representation of the data. The published metadata can be mapped to and from existing standards (e.g., FGDC, ISO 19115). With ECHO, users can find the metadata stored in the data registry and then access the data either

  16. Asymmetric programming: a highly reliable metadata allocation strategy for MLC NAND flash memory-based sensor systems.

    PubMed

    Huang, Min; Liu, Zhaoqing; Qiao, Liyan

    2014-10-10

    While the NAND flash memory is widely used as the storage medium in modern sensor systems, the aggressive shrinking of process geometry and an increase in the number of bits stored in each memory cell will inevitably degrade the reliability of NAND flash memory. In particular, it's critical to enhance metadata reliability, which occupies only a small portion of the storage space, but maintains the critical information of the file system and the address translations of the storage system. Metadata damage will cause the system to crash or a large amount of data to be lost. This paper presents Asymmetric Programming, a highly reliable metadata allocation strategy for MLC NAND flash memory storage systems. Our technique exploits for the first time the property of the multi-page architecture of MLC NAND flash memory to improve the reliability of metadata. The basic idea is to keep metadata in most significant bit (MSB) pages which are more reliable than least significant bit (LSB) pages. Thus, we can achieve relatively low bit error rates for metadata. Based on this idea, we propose two strategies to optimize address mapping and garbage collection. We have implemented Asymmetric Programming on a real hardware platform. The experimental results show that Asymmetric Programming can achieve a reduction in the number of page errors of up to 99.05% with the baseline error correction scheme.

  17. Asymmetric Programming: A Highly Reliable Metadata Allocation Strategy for MLC NAND Flash Memory-Based Sensor Systems

    PubMed Central

    Huang, Min; Liu, Zhaoqing; Qiao, Liyan

    2014-01-01

    While the NAND flash memory is widely used as the storage medium in modern sensor systems, the aggressive shrinking of process geometry and an increase in the number of bits stored in each memory cell will inevitably degrade the reliability of NAND flash memory. In particular, it's critical to enhance metadata reliability, which occupies only a small portion of the storage space, but maintains the critical information of the file system and the address translations of the storage system. Metadata damage will cause the system to crash or a large amount of data to be lost. This paper presents Asymmetric Programming, a highly reliable metadata allocation strategy for MLC NAND flash memory storage systems. Our technique exploits for the first time the property of the multi-page architecture of MLC NAND flash memory to improve the reliability of metadata. The basic idea is to keep metadata in most significant bit (MSB) pages which are more reliable than least significant bit (LSB) pages. Thus, we can achieve relatively low bit error rates for metadata. Based on this idea, we propose two strategies to optimize address mapping and garbage collection. We have implemented Asymmetric Programming on a real hardware platform. The experimental results show that Asymmetric Programming can achieve a reduction in the number of page errors of up to 99.05% with the baseline error correction scheme. PMID:25310473

  18. Scalable Metadata Management for a Large Multi-Source Seismic Data Repository

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gaylord, J. M.; Dodge, D. A.; Magana-Zook, S. A.

    In this work, we implemented the key metadata management components of a scalable seismic data ingestion framework to address limitations in our existing system, and to position it for anticipated growth in volume and complexity. We began the effort with an assessment of open source data flow tools from the Hadoop ecosystem. We then began the construction of a layered architecture that is specifically designed to address many of the scalability and data quality issues we experience with our current pipeline. This included implementing basic functionality in each of the layers, such as establishing a data lake, designing a unifiedmore » metadata schema, tracking provenance, and calculating data quality metrics. Our original intent was to test and validate the new ingestion framework with data from a large-scale field deployment in a temporary network. This delivered somewhat unsatisfying results, since the new system immediately identified fatal flaws in the data relatively early in the pipeline. Although this is a correct result it did not allow us to sufficiently exercise the whole framework. We then widened our scope to process all available metadata from over a dozen online seismic data sources to further test the implementation and validate the design. This experiment also uncovered a higher than expected frequency of certain types of metadata issues that challenged us to further tune our data management strategy to handle them. Our result from this project is a greatly improved understanding of real world data issues, a validated design, and prototype implementations of major components of an eventual production framework. This successfully forms the basis of future development for the Geophysical Monitoring Program data pipeline, which is a critical asset supporting multiple programs. It also positions us very well to deliver valuable metadata management expertise to our sponsors, and has already resulted in an NNSA Office of Defense Nuclear

  19. Parallel file system with metadata distributed across partitioned key-value store c

    DOEpatents

    Bent, John M.; Faibish, Sorin; Grider, Gary; Torres, Aaron

    2017-09-19

    Improved techniques are provided for storing metadata associated with a plurality of sub-files associated with a single shared file in a parallel file system. The shared file is generated by a plurality of applications executing on a plurality of compute nodes. A compute node implements a Parallel Log Structured File System (PLFS) library to store at least one portion of the shared file generated by an application executing on the compute node and metadata for the at least one portion of the shared file on one or more object storage servers. The compute node is also configured to implement a partitioned data store for storing a partition of the metadata for the shared file, wherein the partitioned data store communicates with partitioned data stores on other compute nodes using a message passing interface. The partitioned data store can be implemented, for example, using Multidimensional Data Hashing Indexing Middleware (MDHIM).

  20. Integrating Semantic Information in Metadata Descriptions for a Geoscience-wide Resource Inventory.

    NASA Astrophysics Data System (ADS)

    Zaslavsky, I.; Richard, S. M.; Gupta, A.; Valentine, D.; Whitenack, T.; Ozyurt, I. B.; Grethe, J. S.; Schachne, A.

    2016-12-01

    Integrating semantic information into legacy metadata catalogs is a challenging issue and so far has been mostly done on a limited scale. We present experience of CINERGI (Community Inventory of Earthcube Resources for Geoscience Interoperability), an NSF Earthcube Building Block project, in creating a large cross-disciplinary catalog of geoscience information resources to enable cross-domain discovery. The project developed a pipeline for automatically augmenting resource metadata, in particular generating keywords that describe metadata documents harvested from multiple geoscience information repositories or contributed by geoscientists through various channels including surveys and domain resource inventories. The pipeline examines available metadata descriptions using text parsing, vocabulary management and semantic annotation and graph navigation services of GeoSciGraph. GeoSciGraph, in turn, relies on a large cross-domain ontology of geoscience terms, which bridges several independently developed ontologies or taxonomies including SWEET, ENVO, YAGO, GeoSciML, GCMD, SWO, and CHEBI. The ontology content enables automatic extraction of keywords reflecting science domains, equipment used, geospatial features, measured properties, methods, processes, etc. We specifically focus on issues of cross-domain geoscience ontology creation, resolving several types of semantic conflicts among component ontologies or vocabularies, and constructing and managing facets for improved data discovery and navigation. The ontology and keyword generation rules are iteratively improved as pipeline results are presented to data managers for selective manual curation via a CINERGI Annotator user interface. We present lessons learned from applying CINERGI metadata augmentation pipeline to a number of federal agency and academic data registries, in the context of several use cases that require data discovery and integration across multiple earth science data catalogs of varying quality

  1. The notes from nature tool for unlocking biodiversity records from museum records through citizen science.

    PubMed

    Hill, Andrew; Guralnick, Robert; Smith, Arfon; Sallans, Andrew; Rosemary Gillespie; Denslow, Michael; Gross, Joyce; Murrell, Zack; Tim Conyers; Oboyski, Peter; Ball, Joan; Thomer, Andrea; Prys-Jones, Robert; de Torre, Javier; Kociolek, Patrick; Fortson, Lucy

    2012-01-01

    Legacy data from natural history collections contain invaluable and irreplaceable information about biodiversity in the recent past, providing a baseline for detecting change and forecasting the future of biodiversity on a human-dominated planet. However, these data are often not available in formats that facilitate use and synthesis. New approaches are needed to enhance the rates of digitization and data quality improvement. Notes from Nature provides one such novel approach by asking citizen scientists to help with transcription tasks. The initial web-based prototype of Notes from Nature is soon widely available and was developed collaboratively by biodiversity scientists, natural history collections staff, and experts in citizen science project development, programming and visualization. This project brings together digital images representing different types of biodiversity records including ledgers , herbarium sheets and pinned insects from multiple projects and natural history collections. Experts in developing web-based citizen science applications then designed and built a platform for transcribing textual data and metadata from these images. The end product is a fully open source web transcription tool built using the latest web technologies. The platform keeps volunteers engaged by initially explaining the scientific importance of the work via a short orientation, and then providing transcription "missions" of well defined scope, along with dynamic feedback, interactivity and rewards. Transcribed records, along with record-level and process metadata, are provided back to the institutions.  While the tool is being developed with new users in mind, it can serve a broad range of needs from novice to trained museum specialist. Notes from Nature has the potential to speed the rate of biodiversity data being made available to a broad community of users.

  2. Metadata and network API aspects of a framework for storing and retrieving civil infrastructure monitoring data

    NASA Astrophysics Data System (ADS)

    Wong, John-Michael; Stojadinovic, Bozidar

    2005-05-01

    A framework has been defined for storing and retrieving civil infrastructure monitoring data over a network. The framework consists of two primary components: metadata and network communications. The metadata component provides the descriptions and data definitions necessary for cataloging and searching monitoring data. The communications component provides Java classes for remotely accessing the data. Packages of Enterprise JavaBeans and data handling utility classes are written to use the underlying metadata information to build real-time monitoring applications. The utility of the framework was evaluated using wireless accelerometers on a shaking table earthquake simulation test of a reinforced concrete bridge column. The NEESgrid data and metadata repository services were used as a backend storage implementation. A web interface was created to demonstrate the utility of the data model and provides an example health monitoring application.

  3. Automatic publishing ISO 19115 metadata with PanMetaDocs using SensorML information

    NASA Astrophysics Data System (ADS)

    Stender, Vivien; Ulbricht, Damian; Schroeder, Matthias; Klump, Jens

    2014-05-01

    Terrestrial Environmental Observatories (TERENO) is an interdisciplinary and long-term research project spanning an Earth observation network across Germany. It includes four test sites within Germany from the North German lowlands to the Bavarian Alps and is operated by six research centers of the Helmholtz Association. The contribution by the participating research centers is organized as regional observatories. A challenge for TERENO and its observatories is to integrate all aspects of data management, data workflows, data modeling and visualizations into the design of a monitoring infrastructure. TERENO Northeast is one of the sub-observatories of TERENO and is operated by the German Research Centre for Geosciences (GFZ) in Potsdam. This observatory investigates geoecological processes in the northeastern lowland of Germany by collecting large amounts of environmentally relevant data. The success of long-term projects like TERENO depends on well-organized data management, data exchange between the partners involved and on the availability of the captured data. Data discovery and dissemination are facilitated not only through data portals of the regional TERENO observatories but also through a common spatial data infrastructure TEODOOR (TEreno Online Data repOsitORry). TEODOOR bundles the data, provided by the different web services of the single observatories, and provides tools for data discovery, visualization and data access. The TERENO Northeast data infrastructure integrates data from more than 200 instruments and makes data available through standard web services. Geographic sensor information and services are described using the ISO 19115 metadata schema. TEODOOR accesses the OGC Sensor Web Enablement (SWE) interfaces offered by the regional observatories. In addition to the SWE interface, TERENO Northeast also published data through DataCite. The necessary metadata are created in an automated process by extracting information from the SWE SensorML to

  4. Practical management of heterogeneous neuroimaging metadata by global neuroimaging data repositories.

    PubMed

    Neu, Scott C; Crawford, Karen L; Toga, Arthur W

    2012-01-01

    Rapidly evolving neuroimaging techniques are producing unprecedented quantities of digital data at the same time that many research studies are evolving into global, multi-disciplinary collaborations between geographically distributed scientists. While networked computers have made it almost trivial to transmit data across long distances, collecting and analyzing this data requires extensive metadata if the data is to be maximally shared. Though it is typically straightforward to encode text and numerical values into files and send content between different locations, it is often difficult to attach context and implicit assumptions to the content. As the number of and geographic separation between data contributors grows to national and global scales, the heterogeneity of the collected metadata increases and conformance to a single standardization becomes implausible. Neuroimaging data repositories must then not only accumulate data but must also consolidate disparate metadata into an integrated view. In this article, using specific examples from our experiences, we demonstrate how standardization alone cannot achieve full integration of neuroimaging data from multiple heterogeneous sources and why a fundamental change in the architecture of neuroimaging data repositories is needed instead.

  5. Experiences with making diffraction image data available: what metadata do we need to archive?

    PubMed

    Kroon-Batenburg, Loes M J; Helliwell, John R

    2014-10-01

    Recently, the IUCr (International Union of Crystallography) initiated the formation of a Diffraction Data Deposition Working Group with the aim of developing standards for the representation of raw diffraction data associated with the publication of structural papers. Archiving of raw data serves several goals: to improve the record of science, to verify the reproducibility and to allow detailed checks of scientific data, safeguarding against fraud and to allow reanalysis with future improved techniques. A means of studying this issue is to submit exemplar publications with associated raw data and metadata. In a recent study of the binding of cisplatin and carboplatin to histidine in lysozyme crystals under several conditions, the possible effects of the equipment and X-ray diffraction data-processing software on the occupancies and B factors of the bound Pt compounds were compared. Initially, 35.3 GB of data were transferred from Manchester to Utrecht to be processed with EVAL. A detailed description and discussion of the availability of metadata was published in a paper that was linked to a local raw data archive at Utrecht University and also mirrored at the TARDIS raw diffraction data archive in Australia. By making these raw diffraction data sets available with the article, it is possible for the diffraction community to make their own evaluation. This led to one of the authors of XDS (K. Diederichs) to re-integrate the data from crystals that supposedly solely contained bound carboplatin, resulting in the analysis of partially occupied chlorine anomalous electron densities near the Pt-binding sites and the use of several criteria to more carefully assess the diffraction resolution limit. General arguments for archiving raw data, the possibilities of doing so and the requirement of resources are discussed. The problems associated with a partially unknown experimental setup, which preferably should be available as metadata, is discussed. Current thoughts on

  6. 77 FR 33739 - Announcement of Requirements and Registration for “Health Data Platform Metadata Challenge”

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-07

    ... Information Technology. SUMMARY: As part of the HHS Open Government Plan, the HealthData.gov Platform (HDP) is... application of existing voluntary consensus standards for metadata common to all open government data, and... vocabulary recommendations for Linked Data publishers, defining cross domain semantic metadata of open...

  7. Identifying and collecting pertinent medical records for centralized abstraction in a multi-center randomized clinical trial: the model used by the American College of Radiology arm of the National Lung Screening Trial.

    PubMed

    Gareen, Ilana F; Sicks, JoRean D; Jain, Amanda Adams; Moline, Denise; Coffman-Kadish, Nancy

    2013-01-01

    In clinical trials and epidemiologic studies, information on medical care utilization and health outcomes is often obtained from medical records. For multi-center studies, this information may be gathered by personnel at individual sites or by staff at a central coordinating center. We describe the process used to develop a HIPAA-compliant centralized process to collect medical record information for a large multi-center cancer screening trial. The framework used to select, request, and track medical records incorporated a participant questionnaire with unique identifiers for each medical provider. De-identified information from the questionnaires was sent to the coordinating center indexed by these identifiers. The central coordinating center selected specific medical providers for abstraction and notified sites using these identifiers. The site personnel then linked the identifiers with medical provider information. Staff at the sites collected medical records and provided them for central abstraction. Medical records were successfully obtained and abstracted to ascertain information on outcomes and health care utilization in a study with over 18,000 study participants. Collection of records required for outcomes related to positive screening examinations and lung cancer diagnosis exceeded 90%. Collection of records for all aims was 87.32%. We designed a successful centralized medical record abstraction process that may be generalized to other research settings, including observational studies. The coordinating center received no identifying data. The process satisfied requirements imposed by the Health Insurance Portability and Accountability Act and concerns of site institutional review boards with respect to protected health information. Copyright © 2012 Elsevier Inc. All rights reserved.

  8. Identifying and collecting pertinent medical records for centralized abstraction in a multi-center randomized clinical trial: The model used by the American College of Radiology arm of the National Lung Screening Trial

    PubMed Central

    Gareen, Ilana F.; Sicks, JoRean; Adams, Amanda; Moline, Denise; Coffman-Kadish, Nancy

    2012-01-01

    Background In clinical trials and epidemiologic studies, information on medical care utilization and health outcomes is often obtained from medical records. For multi-center studies, this information may be gathered by personnel at individual sites or by staff at a central coordinating center. We describe the process used to develop a HIPAA-compliant centralized process to collect medical record information for a large multi-center cancer screening trial. Methods The framework used to select, request, and track medical records incorporated a participant questionnaire with unique identifiers for each medical provider. De-identified information from the questionnaires was sent to the coordinating center indexed by these identifiers. The central coordinating center selected specific medical providers for abstraction and notified sites using these identifiers. The site personnel then linked the identifiers with medical provider information. Staff at the sites collected medical records and provided them for central abstraction. Results Medical records were successfully obtained and abstracted to ascertain information on outcomes and health care utilization in a study with over 18,000 study participants. Collection of records required for outcomes related to positive screening examinations and lung cancer diagnosis exceeded 90%. Collection of records for all aims was 87.32%. Conclusions We designed a successful centralized medical record abstraction process that may be generalized to other research settings, including observational studies. The coordinating center received no identifying data. The process satisfied requirements imposed by the Health Insurance Portability and Accountability Act and concerns of site institutional review boards with respect to protected health information. PMID:22982342

  9. Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study.

    PubMed

    Lee, Theresa M; Tu, Karen; Wing, Laura L; Gershon, Andrea S

    2017-05-15

    Little is known about using electronic medical records to identify patients with chronic obstructive pulmonary disease to improve quality of care. Our objective was to develop electronic medical record algorithms that can accurately identify patients with obstructive pulmonary disease. A retrospective chart abstraction study was conducted on data from the Electronic Medical Record Administrative data Linked Database (EMRALD ® ) housed at the Institute for Clinical Evaluative Sciences. Abstracted charts provided the reference standard based on available physician-diagnoses, chronic obstructive pulmonary disease-specific medications, smoking history and pulmonary function testing. Chronic obstructive pulmonary disease electronic medical record algorithms using combinations of terminology in the cumulative patient profile (CPP; problem list/past medical history), physician billing codes (chronic bronchitis/emphysema/other chronic obstructive pulmonary disease), and prescriptions, were tested against the reference standard. Sensitivity, specificity, and positive/negative predictive values (PPV/NPV) were calculated. There were 364 patients with chronic obstructive pulmonary disease identified in a 5889 randomly sampled cohort aged ≥ 35 years (prevalence = 6.2%). The electronic medical record algorithm consisting of ≥ 3 physician billing codes for chronic obstructive pulmonary disease per year; documentation in the CPP; tiotropium prescription; or ipratropium (or its formulations) prescription and a chronic obstructive pulmonary disease billing code had sensitivity of 76.9% (95% CI:72.2-81.2), specificity of 99.7% (99.5-99.8), PPV of 93.6% (90.3-96.1), and NPV of 98.5% (98.1-98.8). Electronic medical record algorithms can accurately identify patients with chronic obstructive pulmonary disease in primary care records. They can be used to enable further studies in practice patterns and chronic obstructive pulmonary disease management in primary care. NOVEL

  10. Engaging a community towards marine cyberinfrastructure: Lessons Learned from The Marine Metadata Interoperability initiative

    NASA Astrophysics Data System (ADS)

    Galbraith, N. R.; Graybeal, J.; Bermudez, L. E.; Wright, D.

    2005-12-01

    The Marine Metadata Interoperability (MMI) initiative promotes the exchange, integration and use of marine data through enhanced data publishing, discovery, documentation and accessibility. The project, operating since late 2004, presents several cultural organizational challenges because of the diversity of participants: scientists, technical experts, and data managers from around the world, all working in organizations with different corporate cultures, funding structures, and systems of decision-making. MMI provides educational resources at several levels. For instance, short introductions to metadata concepts are available, as well as guides and "cookbooks" for the quick and efficient preparation of marine metadata. For those who are building major marine data systems, including ocean-observing capabilities, there are training materials, marine metadata content examples, and resources for mapping elements between different metadata standards. The MMI also provides examples of good metadata practices in existing data systems, including the EU's Marine XML project, and functioning ocean/coastal clearinghouses and atlases developed by MMI team members. Communication tools that help build community: 1) Website, used to introduce the initiative to new visitors, and to provide in-depth guidance and resources to members and visitors. The site is built using Plone, an open source web content management system. Plone allows the site to serve as a wiki, to which every user can contribute material. This keeps the membership engaged and spreads the responsibility for the tasks of updating and expanding the site. 2) Email-lists, to engage the broad ocean sciences community. The discussion forums "news," "ask," and "site-help" are available for receiving regular updates on MMI activities, seeking advice or support on projects and standards, or for assistance with using the MMI site. Internal email lists are provided for the Technical Team, the Steering Committee and

  11. Quality Metadata Management for Geospatial Scientific Workflows: from Retrieving to Assessing with Online Tools

    NASA Astrophysics Data System (ADS)

    Leibovici, D. G.; Pourabdollah, A.; Jackson, M.

    2011-12-01

    Experts and decision-makers use or develop models to monitor global and local changes of the environment. Their activities require the combination of data and processing services in a flow of operations and spatial data computations: a geospatial scientific workflow. The seamless ability to generate, re-use and modify a geospatial scientific workflow is an important requirement but the quality of outcomes is equally much important [1]. Metadata information attached to the data and processes, and particularly their quality, is essential to assess the reliability of the scientific model that represents a workflow [2]. Managing tools, dealing with qualitative and quantitative metadata measures of the quality associated with a workflow, are, therefore, required for the modellers. To ensure interoperability, ISO and OGC standards [3] are to be adopted, allowing for example one to define metadata profiles and to retrieve them via web service interfaces. However these standards need a few extensions when looking at workflows, particularly in the context of geoprocesses metadata. We propose to fill this gap (i) at first through the provision of a metadata profile for the quality of processes, and (ii) through providing a framework, based on XPDL [4], to manage the quality information. Web Processing Services are used to implement a range of metadata analyses on the workflow in order to evaluate and present quality information at different levels of the workflow. This generates the metadata quality, stored in the XPDL file. The focus is (a) on the visual representations of the quality, summarizing the retrieved quality information either from the standardized metadata profiles of the components or from non-standard quality information e.g., Web 2.0 information, and (b) on the estimated qualities of the outputs derived from meta-propagation of uncertainties (a principle that we have introduced [5]). An a priori validation of the future decision-making supported by the

  12. Content-aware network storage system supporting metadata retrieval

    NASA Astrophysics Data System (ADS)

    Liu, Ke; Qin, Leihua; Zhou, Jingli; Nie, Xuejun

    2008-12-01

    Nowadays, content-based network storage has become the hot research spot of academy and corporation[1]. In order to solve the problem of hit rate decline causing by migration and achieve the content-based query, we exploit a new content-aware storage system which supports metadata retrieval to improve the query performance. Firstly, we extend the SCSI command descriptor block to enable system understand those self-defined query requests. Secondly, the extracted metadata is encoded by extensible markup language to improve the universality. Thirdly, according to the demand of information lifecycle management (ILM), we store those data in different storage level and use corresponding query strategy to retrieval them. Fourthly, as the file content identifier plays an important role in locating data and calculating block correlation, we use it to fetch files and sort query results through friendly user interface. Finally, the experiments indicate that the retrieval strategy and sort algorithm have enhanced the retrieval efficiency and precision.

  13. Verification of a New NOAA/NSIDC Passive Microwave Sea-Ice Concentration Climate Record

    NASA Technical Reports Server (NTRS)

    Meier, Walter N.; Peng, Ge; Scott, Donna J.; Savoie, Matt H.

    2014-01-01

    A new satellite-based passive microwave sea-ice concentration product developed for the National Oceanic and Atmospheric Administration (NOAA)Climate Data Record (CDR) programme is evaluated via comparison with other passive microwave-derived estimates. The new product leverages two well-established concentration algorithms, known as the NASA Team and Bootstrap, both developed at and produced by the National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC). The sea ice estimates compare well with similar GSFC products while also fulfilling all NOAA CDR initial operation capability (IOC) requirements, including (1) self describing file format, (2) ISO 19115-2 compliant collection-level metadata,(3) Climate and Forecast (CF) compliant file-level metadata, (4) grid-cell level metadata (data quality fields), (5) fully automated and reproducible processing and (6) open online access to full documentation with version control, including source code and an algorithm theoretical basic document. The primary limitations of the GSFC products are lack of metadata and use of untracked manual corrections to the output fields. Smaller differences occur from minor variations in processing methods by the National Snow and Ice Data Center (for the CDR fields) and NASA (for the GSFC fields). The CDR concentrations do have some differences from the constituent GSFC concentrations, but trends and variability are not substantially different.

  14. A metadata reporting framework for standardization and synthesis of ecohydrological field observations

    NASA Astrophysics Data System (ADS)

    Christianson, D. S.; Varadharajan, C.; Detto, M.; Faybishenko, B.; Gimenez, B.; Jardine, K.; Negron Juarez, R. I.; Pastorello, G.; Powell, T.; Warren, J.; Wolfe, B.; McDowell, N. G.; Kueppers, L. M.; Chambers, J.; Agarwal, D.

    2016-12-01

    The U.S. Department of Energy's (DOE) Next Generation Ecosystem Experiment (NGEE) Tropics project aims to develop a process-rich tropical forest ecosystem model that is parameterized and benchmarked by field observations. Thus, data synthesis, quality assurance and quality control (QA/QC), and data product generation of a diverse and complex set of ecohydrological observations, including sapflux, leaf surface temperature, soil water content, and leaf gas exchange from sites across the Tropics, are required to support model simulations. We have developed a metadata reporting framework, implemented in conjunction with the NGEE Tropics Data Archive tool, to enable cross-site and cross-method comparison, data interpretability, and QA/QC. We employed a modified User-Centered Design approach, which involved short development cycles based on user-identified needs, and iterative testing with data providers and users. The metadata reporting framework currently has been implemented for sensor-based observations and leverages several existing metadata protocols. The framework consists of templates that define a multi-scale measurement position hierarchy, descriptions of measurement settings, and details about data collection and data file organization. The framework also enables data providers to define data-access permission settings, provenance, and referencing to enable appropriate data usage, citation, and attribution. In addition to describing the metadata reporting framework, we discuss tradeoffs and impressions from both data providers and users during the development process, focusing on the scalability, usability, and efficiency of the framework.

  15. Combined use of semantics and metadata to manage Research Data Life Cycle in Environmental Sciences

    NASA Astrophysics Data System (ADS)

    Aguilar Gómez, Fernando; de Lucas, Jesús Marco; Pertinez, Esther; Palacio, Aida

    2017-04-01

    The use of metadata to contextualize datasets is quite extended in Earth System Sciences. There are some initiatives and available tools to help data managers to choose the best metadata standard that fit their use cases, like the DCC Metadata Directory (http://www.dcc.ac.uk/resources/metadata-standards). In our use case, we have been gathering physical, chemical and biological data from a water reservoir since 2010. A well metadata definition is crucial not only to contextualize our own data but also to integrate datasets from other sources like satellites or meteorological agencies. That is why we have chosen EML (Ecological Metadata Language), which integrates many different elements to define a dataset, including the project context, instrumentation and parameters definition, and the software used to process, provide quality controls and include the publication details. Those metadata elements can contribute to help both human and machines to understand and process the dataset. However, the use of metadata is not enough to fully support the data life cycle, from the Data Management Plan definition to the Publication and Re-use. To do so, we need to define not only metadata and attributes but also the relationships between them, so semantics are needed. Ontologies, being a knowledge representation, can contribute to define the elements of a research data life cycle, including DMP, datasets, software, etc. They also can define how the different elements are related between them and how they interact. The first advantage of developing an ontology of a knowledge domain is that they provide a common vocabulary hierarchy (i.e. a conceptual schema) that can be used and standardized by all the agents interested in the domain (either humans or machines). This way of using ontologies is one of the basis of the Semantic Web, where ontologies are set to play a key role in establishing a common terminology between agents. To develop an ontology we are using a graphical tool

  16. A Flexible Online Metadata Editing and Management System

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Aguilar, Raul; Pan, Jerry Yun; Gries, Corinna

    2010-01-01

    A metadata editing and management system is being developed employing state of the art XML technologies. A modular and distributed design was chosen for scalability, flexibility, options for customizations, and the possibility to add more functionality at a later stage. The system consists of a desktop design tool or schema walker used to generate code for the actual online editor, a native XML database, and an online user access management application. The design tool is a Java Swing application that reads an XML schema, provides the designer with options to combine input fields into online forms and give the fieldsmore » user friendly tags. Based on design decisions, the tool generates code for the online metadata editor. The code generated is an implementation of the XForms standard using the Orbeon Framework. The design tool fulfills two requirements: First, data entry forms based on one schema may be customized at design time and second data entry applications may be generated for any valid XML schema without relying on custom information in the schema. However, the customized information generated at design time is saved in a configuration file which may be re-used and changed again in the design tool. Future developments will add functionality to the design tool to integrate help text, tool tips, project specific keyword lists, and thesaurus services. Additional styling of the finished editor is accomplished via cascading style sheets which may be further customized and different look-and-feels may be accumulated through the community process. The customized editor produces XML files in compliance with the original schema, however, data from the current page is saved into a native XML database whenever the user moves to the next screen or pushes the save button independently of validity. Currently the system uses the open source XML database eXist for storage and management, which comes with third party online and desktop management tools. However, access

  17. Practical management of heterogeneous neuroimaging metadata by global neuroimaging data repositories

    PubMed Central

    Neu, Scott C.; Crawford, Karen L.; Toga, Arthur W.

    2012-01-01

    Rapidly evolving neuroimaging techniques are producing unprecedented quantities of digital data at the same time that many research studies are evolving into global, multi-disciplinary collaborations between geographically distributed scientists. While networked computers have made it almost trivial to transmit data across long distances, collecting and analyzing this data requires extensive metadata if the data is to be maximally shared. Though it is typically straightforward to encode text and numerical values into files and send content between different locations, it is often difficult to attach context and implicit assumptions to the content. As the number of and geographic separation between data contributors grows to national and global scales, the heterogeneity of the collected metadata increases and conformance to a single standardization becomes implausible. Neuroimaging data repositories must then not only accumulate data but must also consolidate disparate metadata into an integrated view. In this article, using specific examples from our experiences, we demonstrate how standardization alone cannot achieve full integration of neuroimaging data from multiple heterogeneous sources and why a fundamental change in the architecture of neuroimaging data repositories is needed instead. PMID:22470336

  18. NeuroTransDB: highly curated and structured transcriptomic metadata for neurodegenerative diseases.

    PubMed

    Bagewadi, Shweta; Adhikari, Subash; Dhrangadhariya, Anjani; Irin, Afroza Khanam; Ebeling, Christian; Namasivayam, Aishwarya Alex; Page, Matthew; Hofmann-Apitius, Martin; Senger, Philipp

    2015-01-01

    Neurodegenerative diseases are chronic debilitating conditions, characterized by progressive loss of neurons that represent a significant health care burden as the global elderly population continues to grow. Over the past decade, high-throughput technologies such as the Affymetrix GeneChip microarrays have provided new perspectives into the pathomechanisms underlying neurodegeneration. Public transcriptomic data repositories, namely Gene Expression Omnibus and curated ArrayExpress, enable researchers to conduct integrative meta-analysis; increasing the power to detect differentially regulated genes in disease and explore patterns of gene dysregulation across biologically related studies. The reliability of retrospective, large-scale integrative analyses depends on an appropriate combination of related datasets, in turn requiring detailed meta-annotations capturing the experimental setup. In most cases, we observe huge variation in compliance to defined standards for submitted metadata in public databases. Much of the information to complete, or refine meta-annotations are distributed in the associated publications. For example, tissue preparation or comorbidity information is frequently described in an article's supplementary tables. Several value-added databases have employed additional manual efforts to overcome this limitation. However, none of these databases explicate annotations that distinguish human and animal models in neurodegeneration context. Therefore, adopting a more specific disease focus, in combination with dedicated disease ontologies, will better empower the selection of comparable studies with refined annotations to address the research question at hand. In this article, we describe the detailed development of NeuroTransDB, a manually curated database containing metadata annotations for neurodegenerative studies. The database contains more than 20 dimensions of metadata annotations within 31 mouse, 5 rat and 45 human studies, defined in

  19. NeuroTransDB: highly curated and structured transcriptomic metadata for neurodegenerative diseases

    PubMed Central

    Bagewadi, Shweta; Adhikari, Subash; Dhrangadhariya, Anjani; Irin, Afroza Khanam; Ebeling, Christian; Namasivayam, Aishwarya Alex; Page, Matthew; Hofmann-Apitius, Martin

    2015-01-01

    Neurodegenerative diseases are chronic debilitating conditions, characterized by progressive loss of neurons that represent a significant health care burden as the global elderly population continues to grow. Over the past decade, high-throughput technologies such as the Affymetrix GeneChip microarrays have provided new perspectives into the pathomechanisms underlying neurodegeneration. Public transcriptomic data repositories, namely Gene Expression Omnibus and curated ArrayExpress, enable researchers to conduct integrative meta-analysis; increasing the power to detect differentially regulated genes in disease and explore patterns of gene dysregulation across biologically related studies. The reliability of retrospective, large-scale integrative analyses depends on an appropriate combination of related datasets, in turn requiring detailed meta-annotations capturing the experimental setup. In most cases, we observe huge variation in compliance to defined standards for submitted metadata in public databases. Much of the information to complete, or refine meta-annotations are distributed in the associated publications. For example, tissue preparation or comorbidity information is frequently described in an article’s supplementary tables. Several value-added databases have employed additional manual efforts to overcome this limitation. However, none of these databases explicate annotations that distinguish human and animal models in neurodegeneration context. Therefore, adopting a more specific disease focus, in combination with dedicated disease ontologies, will better empower the selection of comparable studies with refined annotations to address the research question at hand. In this article, we describe the detailed development of NeuroTransDB, a manually curated database containing metadata annotations for neurodegenerative studies. The database contains more than 20 dimensions of metadata annotations within 31 mouse, 5 rat and 45 human studies, defined in

  20. MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies.

    PubMed

    Kumar, Pankaj; Halama, Anna; Hayat, Shahina; Billing, Anja M; Gupta, Manish; Yousri, Noha A; Smith, Gregory M; Suhre, Karsten

    2015-01-01

    The number of RNA-Seq studies has grown in recent years. The design of RNA-Seq studies varies from very simple (e.g., two-condition case-control) to very complicated (e.g., time series involving multiple samples at each time point with separate drug treatments). Most of these publically available RNA-Seq studies are deposited in NCBI databases, but their metadata are scattered throughout four different databases: Sequence Read Archive (SRA), Biosample, Bioprojects, and Gene Expression Omnibus (GEO). Although the NCBI web interface is able to provide all of the metadata information, it often requires significant effort to retrieve study- or project-level information by traversing through multiple hyperlinks and going to another page. Moreover, project- and study-level metadata lack manual or automatic curation by categories, such as disease type, time series, case-control, or replicate type, which are vital to comprehending any RNA-Seq study. Here we describe "MetaRNA-Seq," a new tool for interactively browsing, searching, and annotating RNA-Seq metadata with the capability of semiautomatic curation at the study level.

  1. Metadata and Buckets in the Smart Object, Dumb Archive (SODA) Model

    NASA Technical Reports Server (NTRS)

    Nelson, Michael L.; Maly, Kurt; Croom, Delwin R., Jr.; Robbins, Steven W.

    2004-01-01

    We present the Smart Object, Dumb Archive (SODA) model for digital libraries (DLs), and discuss the role of metadata in SODA. The premise of the SODA model is to "push down" many of the functionalities generally associated with archives into the data objects themselves. Thus the data objects become "smarter", and the archives "dumber". In the SODA model, archives become primarily set managers, and the objects themselves negotiate and handle presentation, enforce terms and conditions, and perform data content management. Buckets are our implementation of smart objects, and da is our reference implementation for dumb archives. We also present our approach to metadata translation for buckets.

  2. OntoStudyEdit: a new approach for ontology-based representation and management of metadata in clinical and epidemiological research.

    PubMed

    Uciteli, Alexandr; Herre, Heinrich

    2015-01-01

    The specification of metadata in clinical and epidemiological study projects absorbs significant expense. The validity and quality of the collected data depend heavily on the precise and semantical correct representation of their metadata. In various research organizations, which are planning and coordinating studies, the required metadata are specified differently, depending on many conditions, e.g., on the used study management software. The latter does not always meet the needs of a particular research organization, e.g., with respect to the relevant metadata attributes and structuring possibilities. The objective of the research, set forth in this paper, is the development of a new approach for ontology-based representation and management of metadata. The basic features of this approach are demonstrated by the software tool OntoStudyEdit (OSE). The OSE is designed and developed according to the three ontology method. This method for developing software is based on the interactions of three different kinds of ontologies: a task ontology, a domain ontology and a top-level ontology. The OSE can be easily adapted to different requirements, and it supports an ontologically founded representation and efficient management of metadata. The metadata specifications can by imported from various sources; they can be edited with the OSE, and they can be exported in/to several formats, which are used, e.g., by different study management software. Advantages of this approach are the adaptability of the OSE by integrating suitable domain ontologies, the ontological specification of mappings between the import/export formats and the DO, the specification of the study metadata in a uniform manner and its reuse in different research projects, and an intuitive data entry for non-expert users.

  3. A SensorML-based Metadata Model and Registry for Ocean Observatories: a Contribution from European Projects NeXOS and FixO3

    NASA Astrophysics Data System (ADS)

    Delory, E.; Jirka, S.

    2016-02-01

    Discovering sensors and observation data is important when enabling the exchange of oceanographic data between observatories and scientists that need the data sets for their work. To better support this discovery process, one task of the European project FixO3 (Fixed-point Open Ocean Observatories) is dealing with the question which elements are needed for developing a better registry for sensors. This has resulted in four items which are addressed by the FixO3 project in cooperation with further European projects such as NeXOS (http://www.nexosproject.eu/). 1.) Metadata description format: To store and retrieve information about sensors and platforms it is necessary to have a common approach how to provide and encode the metadata. For this purpose, the OGC Sensor Model Language (SensorML) 2.0 standard was selected. Especially the opportunity to distinguish between sensor types and instances offers new chances for a more efficient provision and maintenance of sensor metadata. 2.) Conversion of existing metadata into a SensorML 2.0 representation: In order to ensure a sustainable re-use of already provided metadata content (e.g. from ESONET-FixO3 yellow pages), it is important to provide a mechanism which is capable of transforming these already available metadata sets into the new SensorML 2.0 structure. 3.) Metadata editor: To create descriptions of sensors and platforms, it is not possible to expect users to manually edit XML-based description files. Thus, a visual interface is necessary to help during the metadata creation. We will outline a prototype of this editor, building upon the development of the ESONET sensor registry interface. 4.) Sensor Metadata Store: A server is needed that for storing and querying the created sensor descriptions. For this purpose different options exist which will be discussed. In summary, we will present a set of different elements enabling sensor discovery ranging from metadata formats, metadata conversion and editing to metadata

  4. ClipCard: Sharable, Searchable Visual Metadata Summaries on the Cloud to Render Big Data Actionable

    NASA Astrophysics Data System (ADS)

    Saripalli, P.; Davis, D.; Cunningham, R.

    2013-12-01

    Research firm IDC estimates that approximately 90 percent of the Enterprise Big Data go un-analyzed, as 'dark data' - an enormous corpus of undiscovered, untagged information residing on data warehouses, servers and Storage Area Networks (SAN). In the geosciences, these data range from unpublished model runs to vast survey data assets to raw sensor data. Many of these are now being collected instantaneously, at a greater volume and in new data formats. Not all of these data can be analyzed, nor processed in real time, and their features may not be well described at the time of collection. These dark data are a serious data management problem for science organizations of all types, especially ones with mandated or required data reporting and compliance requirements. Additionally, data curators and scientists are encouraged to quantify the impact of their data holdings as a way to measure research success. Deriving actionable insights is the foremost goal of Big Data Analytics (BDA), which is especially true with geoscience, given its direct impact on most of the pressing global issues. Clearly, there is a pressing need for innovative approaches to making dark data discoverable, measurable, and actionable. We report on ClipCard, a Cloud-based SaaS analytic platform for instant summarization, quick search, visualization and easy sharing of metadata summaries form the Dark Data at hierarchical levels of detail, thus rendering it 'white', i.e., actionable. We present a use case of the ClipCard platform, a cloud-based application which helps generate (abstracted) visual metadata summaries and meta-analytics for environmental data at hierarchical scales within and across big data containers. These summaries and analyses provide important new tools for managing big data and simplifying collaboration through easy to deploy sharing APIs. The ClipCard application solves a growing data management bottleneck by helping enterprises and large organizations to summarize, search

  5. Playing the Metadata Game: Technologies and Strategies Used by Climate Diagnostics Center for Cataloging and Distributing Climate Data.

    NASA Astrophysics Data System (ADS)

    Schweitzer, R. H.

    2001-05-01

    The Climate Diagnostics Center maintains a collection of gridded climate data primarily for use by local researchers. Because this data is available on fast digital storage and because it has been converted to netCDF using a standard metadata convention (called COARDS), we recognize that this data collection is also useful to the community at large. At CDC we try to use technology and metadata standards to reduce our costs associated with making these data available to the public. The World Wide Web has been an excellent technology platform for meeting that goal. Specifically we have developed Web-based user interfaces that allow users to search, plot and download subsets from the data collection. We have also been exploring use of the Pacific Marine Environment Laboratory's Live Access Server (LAS) as an engine for this task. This would result in further savings by allowing us to concentrate on customizing the LAS where needed, rather that developing and maintaining our own system. One such customization currently under development is the use of Java Servlets and JavaServer pages in conjunction with a metadata database to produce a hierarchical user interface to LAS. In addition to these Web-based user interfaces all of our data are available via the Distributed Oceanographic Data System (DODS). This allows other sites using LAS and individuals using DODS-enabled clients to use our data as if it were a local file. All of these technology systems are driven by metadata. When we began to create netCDF files, we collaborated with several other agencies to develop a netCDF convention (COARDS) for metadata. At CDC we have extended that convention to incorporate additional metadata elements to make the netCDF files as self-describing as possible. Part of the local metadata is a set of controlled names for the variable, level in the atmosphere and ocean, statistic and data set for each netCDF file. To allow searching and easy reorganization of these metadata, we loaded

  6. MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive.

    PubMed

    Bernstein, Matthew N; Doan, AnHai; Dewey, Colin N

    2017-09-15

    The NCBI's Sequence Read Archive (SRA) promises great biological insight if one could analyze the data in the aggregate; however, the data remain largely underutilized, in part, due to the poor structure of the metadata associated with each sample. The rules governing submissions to the SRA do not dictate a standardized set of terms that should be used to describe the biological samples from which the sequencing data are derived. As a result, the metadata include many synonyms, spelling variants and references to outside sources of information. Furthermore, manual annotation of the data remains intractable due to the large number of samples in the archive. For these reasons, it has been difficult to perform large-scale analyses that study the relationships between biomolecular processes and phenotype across diverse diseases, tissues and cell types present in the SRA. We present MetaSRA, a database of normalized SRA human sample-specific metadata following a schema inspired by the metadata organization of the ENCODE project. This schema involves mapping samples to terms in biomedical ontologies, labeling each sample with a sample-type category, and extracting real-valued properties. We automated these tasks via a novel computational pipeline. The MetaSRA is available at metasra.biostat.wisc.edu via both a searchable web interface and bulk downloads. Software implementing our computational pipeline is available at http://github.com/deweylab/metasra-pipeline. cdewey@biostat.wisc.edu. Supplementary data are available at Bioinformatics online. © The Author(s) 2017. Published by Oxford University Press.

  7. Online Meta-data Collection and Monitoring Framework for the STAR Experiment at RHIC

    NASA Astrophysics Data System (ADS)

    Arkhipkin, D.; Lauret, J.; Betts, W.; Van Buren, G.

    2012-12-01

    The STAR Experiment further exploits scalable message-oriented model principles to achieve a high level of control over online data streams. In this paper we present an AMQP-powered Message Interface and Reliable Architecture framework (MIRA), which allows STAR to orchestrate the activities of Meta-data Collection, Monitoring, Online QA and several Run-Time and Data Acquisition system components in a very efficient manner. The very nature of the reliable message bus suggests parallel usage of multiple independent storage mechanisms for our meta-data. We describe our experience with a robust data-taking setup employing MySQL- and HyperTable-based archivers for meta-data processing. In addition, MIRA has an AJAX-enabled web GUI, which allows real-time visualisation of online process flow and detector subsystem states, and doubles as a sophisticated alarm system when combined with complex event processing engines like Esper, Borealis or Cayuga. The performance data and our planned path forward are based on our experience during the 2011-2012 running of STAR.

  8. Automated Atmospheric Composition Dataset Level Metadata Discovery. Difficulties and Surprises

    NASA Astrophysics Data System (ADS)

    Strub, R. F.; Falke, S. R.; Kempler, S.; Fialkowski, E.; Goussev, O.; Lynnes, C.

    2015-12-01

    The Atmospheric Composition Portal (ACP) is an aggregator and curator of information related to remotely sensed atmospheric composition data and analysis. It uses existing tools and technologies and, where needed, enhances those capabilities to provide interoperable access, tools, and contextual guidance for scientists and value-adding organizations using remotely sensed atmospheric composition data. The initial focus is on Essential Climate Variables identified by the Global Climate Observing System - CH4, CO, CO2, NO2, O3, SO2 and aerosols. This poster addresses our efforts in building the ACP Data Table, an interface to help discover and understand remotely sensed data that are related to atmospheric composition science and applications. We harvested GCMD, CWIC, GEOSS metadata catalogs using machine to machine technologies - OpenSearch, Web Services. We also manually investigated the plethora of CEOS data providers portals and other catalogs where that data might be aggregated. This poster is our experience of the excellence, variety, and challenges we encountered.Conclusions:1.The significant benefits that the major catalogs provide are their machine to machine tools like OpenSearch and Web Services rather than any GUI usability improvements due to the large amount of data in their catalog.2.There is a trend at the large catalogs towards simulating small data provider portals through advanced services. 3.Populating metadata catalogs using ISO19115 is too complex for users to do in a consistent way, difficult to parse visually or with XML libraries, and too complex for Java XML binders like CASTOR.4.The ability to search for Ids first and then for data (GCMD and ECHO) is better for machine to machine operations rather than the timeouts experienced when returning the entire metadata entry at once. 5.Metadata harvest and export activities between the major catalogs has led to a significant amount of duplication. (This is currently being addressed) 6.Most (if not

  9. Syndicating Rich Bibliographic Metadata Using MODS and RSS

    ERIC Educational Resources Information Center

    Ashton, Andrew

    2008-01-01

    Many libraries use RSS to syndicate information about their collections to users. A survey of 65 academic libraries revealed their most common use for RSS is to disseminate information about library holdings, such as lists of new acquisitions. Even though typical RSS feeds are ill suited to the task of carrying rich bibliographic metadata, great…

  10. Map Metadata: Essential Elements for Search and Storage

    ERIC Educational Resources Information Center

    Beamer, Ashley

    2009-01-01

    Purpose: The purpose of this paper is to develop an understanding of the issues surrounding the cataloguing of maps in archives and libraries. An investigation into appropriate metadata formats, such as MARC21, EAD and Dublin Core with RDF, shows how particular map data can be stored. Mathematical map elements, specifically co-ordinates, are…

  11. Big Earth Data Initiative: Metadata Improvement: Case Studies

    NASA Technical Reports Server (NTRS)

    Kozimor, John; Habermann, Ted; Farley, John

    2016-01-01

    Big Earth Data Initiative (BEDI) The Big Earth Data Initiative (BEDI) invests in standardizing and optimizing the collection, management and delivery of U.S. Government's civil Earth observation data to improve discovery, access use, and understanding of Earth observations by the broader user community. Complete and consistent standard metadata helps address all three goals.

  12. SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata.

    PubMed

    Hitz, Benjamin C; Rowe, Laurence D; Podduturi, Nikhil R; Glick, David I; Baymuradov, Ulugbek K; Malladi, Venkat S; Chan, Esther T; Davidson, Jean M; Gabdank, Idan; Narayana, Aditi K; Onate, Kathrina C; Hilton, Jason; Ho, Marcus C; Lee, Brian T; Miyasato, Stuart R; Dreszer, Timothy R; Sloan, Cricket A; Strattan, J Seth; Tanaka, Forrest Y; Hong, Eurie L; Cherry, J Michael

    2017-01-01

    The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a comprehensive catalog of functional elements initiated shortly after the completion of the Human Genome Project. The current database exceeds 6500 experiments across more than 450 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure, regulatory and transcriptional landscape of the H. sapiens and M. musculus genomes. All ENCODE experimental data, metadata, and associated computational analyses are submitted to the ENCODE Data Coordination Center (DCC) for validation, tracking, storage, unified processing, and distribution to community resources and the scientific community. As the volume of data increases, the identification and organization of experimental details becomes increasingly intricate and demands careful curation. The ENCODE DCC has created a general purpose software system, known as SnoVault, that supports metadata and file submission, a database used for metadata storage, web pages for displaying the metadata and a robust API for querying the metadata. The software is fully open-source, code and installation instructions can be found at: http://github.com/ENCODE-DCC/snovault/ (for the generic database) and http://github.com/ENCODE-DCC/encoded/ to store genomic data in the manner of ENCODE. The core database engine, SnoVault (which is completely independent of ENCODE, genomic data, or bioinformatic data) has been released as a separate Python package.

  13. SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata

    PubMed Central

    Podduturi, Nikhil R.; Glick, David I.; Baymuradov, Ulugbek K.; Malladi, Venkat S.; Chan, Esther T.; Davidson, Jean M.; Gabdank, Idan; Narayana, Aditi K.; Onate, Kathrina C.; Hilton, Jason; Ho, Marcus C.; Lee, Brian T.; Miyasato, Stuart R.; Dreszer, Timothy R.; Sloan, Cricket A.; Strattan, J. Seth; Tanaka, Forrest Y.; Hong, Eurie L.; Cherry, J. Michael

    2017-01-01

    The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a comprehensive catalog of functional elements initiated shortly after the completion of the Human Genome Project. The current database exceeds 6500 experiments across more than 450 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure, regulatory and transcriptional landscape of the H. sapiens and M. musculus genomes. All ENCODE experimental data, metadata, and associated computational analyses are submitted to the ENCODE Data Coordination Center (DCC) for validation, tracking, storage, unified processing, and distribution to community resources and the scientific community. As the volume of data increases, the identification and organization of experimental details becomes increasingly intricate and demands careful curation. The ENCODE DCC has created a general purpose software system, known as SnoVault, that supports metadata and file submission, a database used for metadata storage, web pages for displaying the metadata and a robust API for querying the metadata. The software is fully open-source, code and installation instructions can be found at: http://github.com/ENCODE-DCC/snovault/ (for the generic database) and http://github.com/ENCODE-DCC/encoded/ to store genomic data in the manner of ENCODE. The core database engine, SnoVault (which is completely independent of ENCODE, genomic data, or bioinformatic data) has been released as a separate Python package. PMID:28403240

  14. Java Library for Input and Output of Image Data and Metadata

    NASA Technical Reports Server (NTRS)

    Deen, Robert; Levoe, Steven

    2003-01-01

    A Java-language library supports input and output (I/O) of image data and metadata (label data) in the format of the Video Image Communication and Retrieval (VICAR) image-processing software and in several similar formats, including a subset of the Planetary Data System (PDS) image file format. The library does the following: It provides low-level, direct access layer, enabling an application subprogram to read and write specific image files, lines, or pixels, and manipulate metadata directly. Two coding/decoding subprograms ("codecs" for short) based on the Java Advanced Imaging (JAI) software provide access to VICAR and PDS images in a file-format-independent manner. The VICAR and PDS codecs enable any program that conforms to the specification of the JAI codec to use VICAR or PDS images automatically, without specific knowledge of the VICAR or PDS format. The library also includes Image I/O plugin subprograms for VICAR and PDS formats. Application programs that conform to the Image I/O specification of Java version 1.4 can utilize any image format for which such a plug-in subprogram exists, without specific knowledge of the format itself. Like the aforementioned codecs, the VICAR and PDS Image I/O plug-in subprograms support reading and writing of metadata.

  15. The IceBridge Portal - Automated Metadata Generation for Enhanced Data Access

    NASA Astrophysics Data System (ADS)

    Tanner, S.; Schwab, M.; Beam, K.; Deems, J. S.; Fitzgerrell, A.

    2016-12-01

    NASA's Operation IceBridge (OIB) mission, initiated in 2009, collects airborne remote sensing measurements over the polar regions to bridge the gap between NASA's Ice, Cloud and Land Elevation satellite (ICESat) mission and the upcoming ICESat-2 mission in 2017. OIB combines an evolving mix of instruments to gather data on topography, ice and snow thickness, high-resolution photography, and other properties that are more difficult or impossible to measure via satellite. Once collected, these data are stored and made available at the National Snow and Ice Data Center (NSIDC) in Boulder, Colorado. To date, there are nearly 200 terabytes of data available, and with several more campaigns to go. Initially, OIB data could be difficult to discover and access, due to a lack of consistent metadata. However, the Project Office made a decision to revamp the data delivery process. This has led to substantial data reformatting and better adherence to NASA standards as well as the generation of far more metadata associated with each data product. Because of this change, NSIDC has been able to develop a powerful map-based portal for search, discovery and access of these data products. The tools used for automated metadata generation, and the resulting new data portal will be presented.

  16. Metadata Management on the SCEC PetaSHA Project: Helping Users Describe, Discover, Understand, and Use Simulation Data in a Large-Scale Scientific Collaboration

    NASA Astrophysics Data System (ADS)

    Okaya, D.; Deelman, E.; Maechling, P.; Wong-Barnum, M.; Jordan, T. H.; Meyers, D.

    2007-12-01

    Large scientific collaborations, such as the SCEC Petascale Cyberfacility for Physics-based Seismic Hazard Analysis (PetaSHA) Project, involve interactions between many scientists who exchange ideas and research results. These groups must organize, manage, and make accessible their community materials of observational data, derivative (research) results, computational products, and community software. The integration of scientific workflows as a paradigm to solve complex computations provides advantages of efficiency, reliability, repeatability, choices, and ease of use. The underlying resource needed for a scientific workflow to function and create discoverable and exchangeable products is the construction, tracking, and preservation of metadata. In the scientific workflow environment there is a two-tier structure of metadata. Workflow-level metadata and provenance describe operational steps, identity of resources, execution status, and product locations and names. Domain-level metadata essentially define the scientific meaning of data, codes and products. To a large degree the metadata at these two levels are separate. However, between these two levels is a subset of metadata produced at one level but is needed by the other. This crossover metadata suggests that some commonality in metadata handling is needed. SCEC researchers are collaborating with computer scientists at SDSC, the USC Information Sciences Institute, and Carnegie Mellon Univ. in order to perform earthquake science using high-performance computational resources. A primary objective of the "PetaSHA" collaboration is to perform physics-based estimations of strong ground motion associated with real and hypothetical earthquakes located within Southern California. Construction of 3D earth models, earthquake representations, and numerical simulation of seismic waves are key components of these estimations. Scientific workflows are used to orchestrate the sequences of scientific tasks and to access

  17. Extended cooperation in clinical studies through exchange of CDISC metadata between different study software solutions.

    PubMed

    Kuchinke, W; Wiegelmann, S; Verplancke, P; Ohmann, C

    2006-01-01

    Our objectives were to analyze the possibility of an exchange of an entire clinical study between two different and independent study software solutions. The question addressed was whether a software-independent transfer of study metadata can be performed without programming efforts and with software routinely used for clinical research. Study metadata was transferred with ODM standard (CDISC). Study software systems employed were MACRO (InferMed) and XTrial (XClinical). For the Proof of Concept, a test study was created with MACRO and exported as ODM. For modification and validation of the ODM export file XML-Spy (Altova) and ODM-Checker (XML4Pharma) were used. Through exchange of a complete clinical study between two different study software solutions, a Proof of Concept of the technical feasibility of a system-independent metadata exchange was conducted successfully. The interchange of study metadata between two different systems at different centers was performed with minimal expenditure. A small number of mistakes had to be corrected in order to generate a syntactically correct ODM file and a "vendor extension" had to be inserted. After these modifications, XTrial exhibited the study, including all data fields, correctly. However, the optical appearance of both CRFs (case report forms) was different. ODM can be used as an exchange format for clinical studies between different study software. Thus, new forms of cooperation through exchange of metadata seem possible, for example the joint creation of electronic study protocols or CRFs at different research centers. Although the ODM standard represents a clinical study completely, it contains no information about the representation of data fields in CRFs.

  18. Automated Database Mediation Using Ontological Metadata Mappings

    PubMed Central

    Marenco, Luis; Wang, Rixin; Nadkarni, Prakash

    2009-01-01

    Objective To devise an automated approach for integrating federated database information using database ontologies constructed from their extended metadata. Background One challenge of database federation is that the granularity of representation of equivalent data varies across systems. Dealing effectively with this problem is analogous to dealing with precoordinated vs. postcoordinated concepts in biomedical ontologies. Model Description The authors describe an approach based on ontological metadata mapping rules defined with elements of a global vocabulary, which allows a query specified at one granularity level to fetch data, where possible, from databases within the federation that use different granularities. This is implemented in OntoMediator, a newly developed production component of our previously described Query Integrator System. OntoMediator's operation is illustrated with a query that accesses three geographically separate, interoperating databases. An example based on SNOMED also illustrates the applicability of high-level rules to support the enforcement of constraints that can prevent inappropriate curator or power-user actions. Summary A rule-based framework simplifies the design and maintenance of systems where categories of data must be mapped to each other, for the purpose of either cross-database query or for curation of the contents of compositional controlled vocabularies. PMID:19567801

  19. The Global Streamflow Indices and Metadata archive (G-SIM): A compilation of global streamflow time series indices and meta-data

    NASA Astrophysics Data System (ADS)

    Do, Hong; Gudmundsson, Lukas; Leonard, Michael; Westra, Seth; Senerivatne, Sonia

    2017-04-01

    In-situ observations of daily streamflow with global coverage are a crucial asset for understanding large-scale freshwater resources which are an essential component of the Earth system and a prerequisite for societal development. Here we present the Global Streamflow Indices and Metadata archive (G-SIM), a collection indices derived from more than 20,000 daily streamflow time series across the globe. These indices are designed to support global assessments of change in wet and dry extremes, and have been compiled from 12 free-to-access online databases (seven national databases and five international collections). The G-SIM archive also includes significant metadata to help support detailed understanding of streamflow dynamics, with the inclusion of drainage area shapefile and many essential catchment properties such as land cover type, soil and topographic characteristics. The automated procedure in data handling and quality control of the project makes G-SIM a reproducible, extendible archive and can be utilised for many purposes in large-scale hydrology. Some potential applications include the identification of observational trends in hydrological extremes, the assessment of climate change impacts on streamflow regimes, and the validation of global hydrological models.

  20. A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains.

    PubMed

    Sinaci, A Anil; Laleci Erturkmen, Gokce B

    2013-10-01

    In order to enable secondary use of Electronic Health Records (EHRs) by bridging the interoperability gap between clinical care and research domains, in this paper, a unified methodology and the supporting framework is introduced which brings together the power of metadata registries (MDR) and semantic web technologies. We introduce a federated semantic metadata registry framework by extending the ISO/IEC 11179 standard, and enable integration of data element registries through Linked Open Data (LOD) principles where each Common Data Element (CDE) can be uniquely referenced, queried and processed to enable the syntactic and semantic interoperability. Each CDE and their components are maintained as LOD resources enabling semantic links with other CDEs, terminology systems and with implementation dependent content models; hence facilitating semantic search, much effective reuse and semantic interoperability across different application domains. There are several important efforts addressing the semantic interoperability in healthcare domain such as IHE DEX profile proposal, CDISC SHARE and CDISC2RDF. Our architecture complements these by providing a framework to interlink existing data element registries and repositories for multiplying their potential for semantic interoperability to a greater extent. Open source implementation of the federated semantic MDR framework presented in this paper is the core of the semantic interoperability layer of the SALUS project which enables the execution of the post marketing safety analysis studies on top of existing EHR systems. Copyright © 2013 Elsevier Inc. All rights reserved.

  1. CHARMe Commentary metadata for Climate Science: collecting, linking and sharing user feedback on climate datasets

    NASA Astrophysics Data System (ADS)

    Blower, Jon; Lawrence, Bryan; Kershaw, Philip; Nagni, Maurizio

    2014-05-01

    The research process can be thought of as an iterative activity, initiated based on prior domain knowledge, as well on a number of external inputs, and producing a range of outputs including datasets, studies and peer reviewed publications. These outputs may describe the problem under study, the methodology used, the results obtained, etc. In any new publication, the author may cite or comment other papers or datasets in order to support their research hypothesis. However, as their work progresses, the researcher may draw from many other latent channels of information. These could include for example, a private conversation following a lecture or during a social dinner; an opinion expressed concerning some significant event such as an earthquake or for example a satellite failure. In addition, other sources of information of grey literature are important public such as informal papers such as the arxiv deposit, reports and studies. The climate science community is not an exception to this pattern; the CHARMe project, funded under the European FP7 framework, is developing an online system for collecting and sharing user feedback on climate datasets. This is to help users judge how suitable such climate data are for an intended application. The user feedback could be comments about assessments, citations, or provenance of the dataset, or other information such as descriptions of uncertainty or data quality. We define this as a distinct category of metadata called Commentary or C-metadata. We link C-metadata with target climate datasets using a Linked Data approach via the Open Annotation data model. In the context of Linked Data, C-metadata plays the role of a resource which, depending on its nature, may be accessed as simple text or as more structured content. The project is implementing a range of software tools to create, search or visualize C-metadata including a JavaScript plugin enabling this functionality to be integrated in situ with data provider portals

  2. A New Look at Data Usage by Using Metadata Attributes as Indicators of Data Quality

    NASA Technical Reports Server (NTRS)

    Won, Young-In; Wanchoo, Lalit; Behnke, Jeanne

    2016-01-01

    This study reviews the key metrics (users, distributed volume, and files) in multiple ways to gain an understanding of the significance of the metadata. Characterizing the usability of data by key metadata elements, such as discipline and study area, will assist in understanding how the user needs have evolved over time. The data usage pattern based on product level provides insight into the level of data quality. In addition, the data metrics by various services, such as the Open-source Project for a Network Data Access Protocol (OPeNDAP) and subsets, address how these services have extended the usage of data. Over-all, this study presents the usage of data and metadata by metrics analyses, which may assist data centers in better supporting the needs of the users.

  3. Web Standard: PDF - When to Use, Document Metadata, PDF Sections

    EPA Pesticide Factsheets

    PDF files provide some benefits when used appropriately. PDF files should not be used for short documents ( 5 pages) unless retaining the format for printing is important. PDFs should have internal file metadata and meet section 508 standards.

  4. GEO Label Web Services for Dynamic and Effective Communication of Geospatial Metadata Quality

    NASA Astrophysics Data System (ADS)

    Lush, Victoria; Nüst, Daniel; Bastin, Lucy; Masó, Joan; Lumsden, Jo

    2014-05-01

    We present demonstrations of the GEO label Web services and their integration into a prototype extension of the GEOSS portal (http://scgeoviqua.sapienzaconsulting.com/web/guest/geo_home), the GMU portal (http://gis.csiss.gmu.edu/GADMFS/) and a GeoNetwork catalog application (http://uncertdata.aston.ac.uk:8080/geonetwork/srv/eng/main.home). The GEO label is designed to communicate, and facilitate interrogation of, geospatial quality information with a view to supporting efficient and effective dataset selection on the basis of quality, trustworthiness and fitness for use. The GEO label which we propose was developed and evaluated according to a user-centred design (UCD) approach in order to maximise the likelihood of user acceptance once deployed. The resulting label is dynamically generated from producer metadata in ISO or FDGC format, and incorporates user feedback on dataset usage, ratings and discovered issues, in order to supply a highly informative summary of metadata completeness and quality. The label was easily incorporated into a community portal as part of the GEO Architecture Implementation Programme (AIP-6) and has been successfully integrated into a prototype extension of the GEOSS portal, as well as the popular metadata catalog and editor, GeoNetwork. The design of the GEO label was based on 4 user studies conducted to: (1) elicit initial user requirements; (2) investigate initial user views on the concept of a GEO label and its potential role; (3) evaluate prototype label visualizations; and (4) evaluate and validate physical GEO label prototypes. The results of these studies indicated that users and producers support the concept of a label with drill-down interrogation facility, combining eight geospatial data informational aspects, namely: producer profile, producer comments, lineage information, standards compliance, quality information, user feedback, expert reviews, and citations information. These are delivered as eight facets of a wheel

  5. Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM.

    PubMed

    Hegselmann, Stefan; Gessner, Sophia; Neuhaus, Philipp; Henke, Jörg; Schmidt, Carsten Oliver; Dugas, Martin

    2017-01-01

    Electronic collection and high quality analysis of medical data is expected to have a big potential to improve patient care and medical research. However, the integration of data from different stake holders is posing a crucial problem. The exchange and reuse of medical data models as well as annotations with unique semantic identifiers were proposed as a solution. Convert metadata from the Study of Health in Pomerania to the standardized CDISC ODM format. The structure of the two data formats is analyzed and a mapping is suggested and implemented. The metadata from the Study of Health in Pomerania was successfully converted to ODM. All relevant information was included in the resulting forms. Three sample forms were evaluated in-depth, which demonstrates the feasibility of this conversion. Hundreds of data entry forms with more than 15.000 items can be converted into a standardized format with some limitations, e.g. regarding logical constraints. This enables the integration of the Study of Health in Pomerania metadata into various systems, facilitating the implementation and reuse in different study sites.

  6. Compatibility Between Metadata Standards: Import Pipeline of CDISC ODM to the Samply.MDR.

    PubMed

    Kock-Schoppenhauer, Ann-Kristin; Ulrich, Hannes; Wagen-Zink, Stefanie; Duhm-Harbeck, Petra; Ingenerf, Josef; Neuhaus, Philipp; Dugas, Martin; Bruland, Philipp

    2018-01-01

    The establishment of a digital healthcare system is a national and community task. The Federal Ministry of Education and Research in Germany is providing funding for consortia consisting of university hospitals among others participating in the "Medical Informatics Initiative". Exchange of medical data between research institutions necessitates a place where meta information for this data is made accessible. Within these consortia different metadata registry solutions were chosen. To promote interoperability between these solutions, we have examined whether the portal of Medical Data Models is eligible for managing and communicating metadata and relevant information across different data integration centres of the Medical Informatics Initiative and beyond. Apart from the MDM-portal, some ISO 11179-based systems such as Samply.MDR as well as openEHR-based solutions are going to be applyed. In this paper, we have focused on the creation of a mapping model between the CDISC ODM standard and the Samply.MDR import format. In summary, it can be stated that the mapping model is feasible and promote the exchangeability between different metadata registry approaches.

  7. Latest developments for the IAGOS database: Interoperability and metadata

    NASA Astrophysics Data System (ADS)

    Boulanger, Damien; Gautron, Benoit; Thouret, Valérie; Schultz, Martin; van Velthoven, Peter; Broetz, Bjoern; Rauthe-Schöch, Armin; Brissebrat, Guillaume

    2014-05-01

    In-service Aircraft for a Global Observing System (IAGOS, http://www.iagos.org) aims at the provision of long-term, frequent, regular, accurate, and spatially resolved in situ observations of the atmospheric composition. IAGOS observation systems are deployed on a fleet of commercial aircraft. The IAGOS database is an essential part of the global atmospheric monitoring network. Data access is handled by open access policy based on the submission of research requests which are reviewed by the PIs. Users can access the data through the following web sites: http://www.iagos.fr or http://www.pole-ether.fr as the IAGOS database is part of the French atmospheric chemistry data centre ETHER (CNES and CNRS). The database is in continuous development and improvement. In the framework of the IGAS project (IAGOS for GMES/COPERNICUS Atmospheric Service), major achievements will be reached, such as metadata and format standardisation in order to interoperate with international portals and other databases, QA/QC procedures and traceability, CARIBIC (Civil Aircraft for the Regular Investigation of the Atmosphere Based on an Instrument Container) data integration within the central database, and the real-time data transmission. IGAS work package 2 aims at providing the IAGOS data to users in a standardized format including the necessary metadata and information on data processing, data quality and uncertainties. We are currently redefining and standardizing the IAGOS metadata for interoperable use within GMES/Copernicus. The metadata are compliant with the ISO 19115, INSPIRE and NetCDF-CF conventions. IAGOS data will be provided to users in NetCDF or NASA Ames format. We also are implementing interoperability between all the involved IAGOS data services, including the central IAGOS database, the former MOZAIC and CARIBIC databases, Aircraft Research DLR database and the Jülich WCS web application JOIN (Jülich OWS Interface) which combines model outputs with in situ data for

  8. Training and Best Practice Guidelines: Implications for Metadata Creation

    ERIC Educational Resources Information Center

    Chuttur, Mohammad Y.

    2012-01-01

    In response to the rapid development of digital libraries over the past decade, researchers have focused on the use of metadata as an effective means to support resource discovery within online repositories. With the increasing involvement of libraries in digitization projects and the growing number of institutional repositories, it is anticipated…

  9. Metadata tables to enable dynamic data modeling and web interface design: the SEER example.

    PubMed

    Weiner, Mark; Sherr, Micah; Cohen, Abigail

    2002-04-01

    A wealth of information addressing health status, outcomes and resource utilization is compiled and made available by various government agencies. While exploration of the data is possible using existing tools, in general, would-be users of the resources must acquire CD-ROMs or download data from the web, and upload the data into their own database. Where web interfaces exist, they are highly structured, limiting the kinds of queries that can be executed. This work develops a web-based database interface engine whose content and structure is generated through interaction with a metadata table. The result is a dynamically generated web interface that can easily accommodate changes in the underlying data model by altering the metadata table, rather than requiring changes to the interface code. This paper discusses the background and implementation of the metadata table and web-based front end and provides examples of its use with the NCI's Surveillance, Epidemiology and End-Results (SEER) database.

  10. Toward more transparent and reproducible omics studies through a common metadata checklist and data publications.

    PubMed

    Kolker, Eugene; Özdemir, Vural; Martens, Lennart; Hancock, William; Anderson, Gordon; Anderson, Nathaniel; Aynacioglu, Sukru; Baranova, Ancha; Campagna, Shawn R; Chen, Rui; Choiniere, John; Dearth, Stephen P; Feng, Wu-Chun; Ferguson, Lynnette; Fox, Geoffrey; Frishman, Dmitrij; Grossman, Robert; Heath, Allison; Higdon, Roger; Hutz, Mara H; Janko, Imre; Jiang, Lihua; Joshi, Sanjay; Kel, Alexander; Kemnitz, Joseph W; Kohane, Isaac S; Kolker, Natali; Lancet, Doron; Lee, Elaine; Li, Weizhong; Lisitsa, Andrey; Llerena, Adrian; Macnealy-Koch, Courtney; Marshall, Jean-Claude; Masuzzo, Paola; May, Amanda; Mias, George; Monroe, Matthew; Montague, Elizabeth; Mooney, Sean; Nesvizhskii, Alexey; Noronha, Santosh; Omenn, Gilbert; Rajasimha, Harsha; Ramamoorthy, Preveen; Sheehan, Jerry; Smarr, Larry; Smith, Charles V; Smith, Todd; Snyder, Michael; Rapole, Srikanth; Srivastava, Sanjeeva; Stanberry, Larissa; Stewart, Elizabeth; Toppo, Stefano; Uetz, Peter; Verheggen, Kenneth; Voy, Brynn H; Warnich, Louise; Wilhelm, Steven W; Yandl, Gregory

    2014-01-01

    Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research. These essential steps require consistent generation, capture, and distribution of metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologies and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. The omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and, importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement.

  11. Towards more transparent and reproducible omics studies through a common metadata checklist and data publications

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kolker, Eugene; Ozdemir, Vural; Martens , Lennart

    Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies omics studies are becoming increasingly prevalent yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research,. These three essential steps require consistent generation, capture, and distribution of the metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologiesmore » and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. This omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement.« less

  12. Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications.

    PubMed

    Kolker, Eugene; Özdemir, Vural; Martens, Lennart; Hancock, William; Anderson, Gordon; Anderson, Nathaniel; Aynacioglu, Sukru; Baranova, Ancha; Campagna, Shawn R; Chen, Rui; Choiniere, John; Dearth, Stephen P; Feng, Wu-Chun; Ferguson, Lynnette; Fox, Geoffrey; Frishman, Dmitrij; Grossman, Robert; Heath, Allison; Higdon, Roger; Hutz, Mara H; Janko, Imre; Jiang, Lihua; Joshi, Sanjay; Kel, Alexander; Kemnitz, Joseph W; Kohane, Isaac S; Kolker, Natali; Lancet, Doron; Lee, Elaine; Li, Weizhong; Lisitsa, Andrey; Llerena, Adrian; MacNealy-Koch, Courtney; Marshall, Jean-Claude; Masuzzo, Paola; May, Amanda; Mias, George; Monroe, Matthew; Montague, Elizabeth; Mooney, Sean; Nesvizhskii, Alexey; Noronha, Santosh; Omenn, Gilbert; Rajasimha, Harsha; Ramamoorthy, Preveen; Sheehan, Jerry; Smarr, Larry; Smith, Charles V; Smith, Todd; Snyder, Michael; Rapole, Srikanth; Srivastava, Sanjeeva; Stanberry, Larissa; Stewart, Elizabeth; Toppo, Stefano; Uetz, Peter; Verheggen, Kenneth; Voy, Brynn H; Warnich, Louise; Wilhelm, Steven W; Yandl, Gregory

    2013-12-01

    Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research. These essential steps require consistent generation, capture, and distribution of metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologies and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. The omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and, importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement.

  13. Availability of Previously Unprocessed ALSEP Raw Instrument Data, Derivative Data, and Metadata Products

    NASA Technical Reports Server (NTRS)

    Nagihara, S.; Nakamura, Y.; Williams, D. R.; Taylor, P. T.; Kiefer, W. S.; Hager, M. A.; Hills, H. K.

    2016-01-01

    In year 2010, 440 original data archival tapes for the Apollo Lunar Science Experiment Package (ALSEP) experiments were found at the Washington National Records Center. These tapes hold raw instrument data received from the Moon for all the ALSEP instruments for the period of April through June 1975. We have recently completed extraction of binary files from these tapes, and we have delivered them to the NASA Space Science Data Cordinated Archive (NSSDCA). We are currently processing the raw data into higher order data products in file formats more readily usable by contemporary researchers. These data products will fill a number of gaps in the current ALSEP data collection at NSSDCA. In addition, we have estabilished a digital, searcheable archive of ALSEP document and metadata as part of the web portal of the Lunar and Planetary Institute. It currently holds approx. 700 documents totaling approx. 40,000 pages

  14. User interface development and metadata considerations for the Atmospheric Radiation Measurement (ARM) archive

    NASA Technical Reports Server (NTRS)

    Singley, P. T.; Bell, J. D.; Daugherty, P. F.; Hubbs, C. A.; Tuggle, J. G.

    1993-01-01

    This paper will discuss user interface development and the structure and use of metadata for the Atmospheric Radiation Measurement (ARM) Archive. The ARM Archive, located at Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tennessee, is the data repository for the U.S. Department of Energy's (DOE's) ARM Project. After a short description of the ARM Project and the ARM Archive's role, we will consider the philosophy and goals, constraints, and prototype implementation of the user interface for the archive. We will also describe the metadata that are stored at the archive and support the user interface.

  15. Sustained Assessment Metadata as a Pathway to Trustworthiness of Climate Science Information

    NASA Astrophysics Data System (ADS)

    Champion, S. M.; Kunkel, K.

    2017-12-01

    The Sustained Assessment process has produced a suite of climate change reports: The Third National Climate Assessment (NCA3), Regional Surface Climate Conditions in CMIP3 and CMIP5 for the United States: Differences, Similarities, and Implications for the U.S. National Climate Assessment, Impacts of Climate Change on Human Health in the United States: A Scientific Assessment, The State Climate Summaries, as well as the anticipated Climate Science Special Report and Fourth National Climate Assessment. Not only are these groundbreaking reports of climate change science, they are also the first suite of climate science reports to provide access to complex metadata directly connected to the report figures and graphics products. While the basic metadata documentation requirement is federally mandated through a series of federal guidelines as a part of the Information Quality Act, Sustained Assessment products are also deemed Highly Influential Scientific Assessments, which further requires demonstration of the transparency and reproducibility of the content. To meet these requirements, the Technical Support Unit (TSU) for the Sustained Assessment embarked on building a system for not only collecting and documenting metadata to the required standards, but one that also provides consumers unprecedented access to the underlying data and methods. As our process and documentation have evolved, the value of both continue to grow in parallel with the consumer expectation of quality, accessible climate science information. This presentation will detail the how the TSU accomplishes the mandated requirements with their metadata collection and documentation process, as well as the technical solution designed to demonstrate compliance while also providing access to the content for the general public. We will also illustrate how our accessibility platforms guide consumers through the Assessment science at a level of transparency that builds trust and confidence in the report

  16. Logic programming and metadata specifications

    NASA Technical Reports Server (NTRS)

    Lopez, Antonio M., Jr.; Saacks, Marguerite E.

    1992-01-01

    Artificial intelligence (AI) ideas and techniques are critical to the development of intelligent information systems that will be used to collect, manipulate, and retrieve the vast amounts of space data produced by 'Missions to Planet Earth.' Natural language processing, inference, and expert systems are at the core of this space application of AI. This paper presents logic programming as an AI tool that can support inference (the ability to draw conclusions from a set of complicated and interrelated facts). It reports on the use of logic programming in the study of metadata specifications for a small problem domain of airborne sensors, and the dataset characteristics and pointers that are needed for data access.

  17. NCI's national environmental research data collection: metadata management built on standards and preparing for the semantic web

    NASA Astrophysics Data System (ADS)

    Wang, Jingbo; Bastrakova, Irina; Evans, Ben; Gohar, Kashif; Santana, Fabiana; Wyborn, Lesley

    2015-04-01

    National Computational Infrastructure (NCI) manages national environmental research data collections (10+ PB) as part of its specialized high performance data node of the Research Data Storage Infrastructure (RDSI) program. We manage 40+ data collections using NCI's Data Management Plan (DMP), which is compatible with the ISO 19100 metadata standards. We utilize ISO standards to make sure our metadata is transferable and interoperable for sharing and harvesting. The DMP is used along with metadata from the data itself, to create a hierarchy of data collection, dataset and time series catalogues that is then exposed through GeoNetwork for standard discoverability. This hierarchy catalogues are linked using a parent-child relationship. The hierarchical infrastructure of our GeoNetwork catalogues system aims to address both discoverability and in-house administrative use-cases. At NCI, we are currently improving the metadata interoperability in our catalogue by linking with standardized community vocabulary services. These emerging vocabulary services are being established to help harmonise data from different national and international scientific communities. One such vocabulary service is currently being established by the Australian National Data Services (ANDS). Data citation is another important aspect of the NCI data infrastructure, which allows tracking of data usage and infrastructure investment, encourage data sharing, and increasing trust in research that is reliant on these data collections. We incorporate the standard vocabularies into the data citation metadata so that the data citation become machine readable and semantically friendly for web-search purpose as well. By standardizing our metadata structure across our entire data corpus, we are laying the foundation to enable the application of appropriate semantic mechanisms to enhance discovery and analysis of NCI's national environmental research data information. We expect that this will further

  18. Standardized Metadata for Human Pathogen/Vector Genomic Sequences

    PubMed Central

    Dugan, Vivien G.; Emrich, Scott J.; Giraldo-Calderón, Gloria I.; Harb, Omar S.; Newman, Ruchi M.; Pickett, Brett E.; Schriml, Lynn M.; Stockwell, Timothy B.; Stoeckert, Christian J.; Sullivan, Dan E.; Singh, Indresh; Ward, Doyle V.; Yao, Alison; Zheng, Jie; Barrett, Tanya; Birren, Bruce; Brinkac, Lauren; Bruno, Vincent M.; Caler, Elizabet; Chapman, Sinéad; Collins, Frank H.; Cuomo, Christina A.; Di Francesco, Valentina; Durkin, Scott; Eppinger, Mark; Feldgarden, Michael; Fraser, Claire; Fricke, W. Florian; Giovanni, Maria; Henn, Matthew R.; Hine, Erin; Hotopp, Julie Dunning; Karsch-Mizrachi, Ilene; Kissinger, Jessica C.; Lee, Eun Mi; Mathur, Punam; Mongodin, Emmanuel F.; Murphy, Cheryl I.; Myers, Garry; Neafsey, Daniel E.; Nelson, Karen E.; Nierman, William C.; Puzak, Julia; Rasko, David; Roos, David S.; Sadzewicz, Lisa; Silva, Joana C.; Sobral, Bruno; Squires, R. Burke; Stevens, Rick L.; Tallon, Luke; Tettelin, Herve; Wentworth, David; White, Owen; Will, Rebecca; Wortman, Jennifer; Zhang, Yun; Scheuermann, Richard H.

    2014-01-01

    High throughput sequencing has accelerated the determination of genome sequences for thousands of human infectious disease pathogens and dozens of their vectors. The scale and scope of these data are enabling genotype-phenotype association studies to identify genetic determinants of pathogen virulence and drug/insecticide resistance, and phylogenetic studies to track the origin and spread of disease outbreaks. To maximize the utility of genomic sequences for these purposes, it is essential that metadata about the pathogen/vector isolate characteristics be collected and made available in organized, clear, and consistent formats. Here we report the development of the GSCID/BRC Project and Sample Application Standard, developed by representatives of the Genome Sequencing Centers for Infectious Diseases (GSCIDs), the Bioinformatics Resource Centers (BRCs) for Infectious Diseases, and the U.S. National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health (NIH), informed by interactions with numerous collaborating scientists. It includes mapping to terms from other data standards initiatives, including the Genomic Standards Consortium’s minimal information (MIxS) and NCBI’s BioSample/BioProjects checklists and the Ontology for Biomedical Investigations (OBI). The standard includes data fields about characteristics of the organism or environmental source of the specimen, spatial-temporal information about the specimen isolation event, phenotypic characteristics of the pathogen/vector isolated, and project leadership and support. By modeling metadata fields into an ontology-based semantic framework and reusing existing ontologies and minimum information checklists, the application standard can be extended to support additional project-specific data fields and integrated with other data represented with comparable standards. The use of this metadata standard by all ongoing and future GSCID sequencing projects will provide a

  19. Standardized metadata for human pathogen/vector genomic sequences.

    PubMed

    Dugan, Vivien G; Emrich, Scott J; Giraldo-Calderón, Gloria I; Harb, Omar S; Newman, Ruchi M; Pickett, Brett E; Schriml, Lynn M; Stockwell, Timothy B; Stoeckert, Christian J; Sullivan, Dan E; Singh, Indresh; Ward, Doyle V; Yao, Alison; Zheng, Jie; Barrett, Tanya; Birren, Bruce; Brinkac, Lauren; Bruno, Vincent M; Caler, Elizabet; Chapman, Sinéad; Collins, Frank H; Cuomo, Christina A; Di Francesco, Valentina; Durkin, Scott; Eppinger, Mark; Feldgarden, Michael; Fraser, Claire; Fricke, W Florian; Giovanni, Maria; Henn, Matthew R; Hine, Erin; Hotopp, Julie Dunning; Karsch-Mizrachi, Ilene; Kissinger, Jessica C; Lee, Eun Mi; Mathur, Punam; Mongodin, Emmanuel F; Murphy, Cheryl I; Myers, Garry; Neafsey, Daniel E; Nelson, Karen E; Nierman, William C; Puzak, Julia; Rasko, David; Roos, David S; Sadzewicz, Lisa; Silva, Joana C; Sobral, Bruno; Squires, R Burke; Stevens, Rick L; Tallon, Luke; Tettelin, Herve; Wentworth, David; White, Owen; Will, Rebecca; Wortman, Jennifer; Zhang, Yun; Scheuermann, Richard H

    2014-01-01

    High throughput sequencing has accelerated the determination of genome sequences for thousands of human infectious disease pathogens and dozens of their vectors. The scale and scope of these data are enabling genotype-phenotype association studies to identify genetic determinants of pathogen virulence and drug/insecticide resistance, and phylogenetic studies to track the origin and spread of disease outbreaks. To maximize the utility of genomic sequences for these purposes, it is essential that metadata about the pathogen/vector isolate characteristics be collected and made available in organized, clear, and consistent formats. Here we report the development of the GSCID/BRC Project and Sample Application Standard, developed by representatives of the Genome Sequencing Centers for Infectious Diseases (GSCIDs), the Bioinformatics Resource Centers (BRCs) for Infectious Diseases, and the U.S. National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health (NIH), informed by interactions with numerous collaborating scientists. It includes mapping to terms from other data standards initiatives, including the Genomic Standards Consortium's minimal information (MIxS) and NCBI's BioSample/BioProjects checklists and the Ontology for Biomedical Investigations (OBI). The standard includes data fields about characteristics of the organism or environmental source of the specimen, spatial-temporal information about the specimen isolation event, phenotypic characteristics of the pathogen/vector isolated, and project leadership and support. By modeling metadata fields into an ontology-based semantic framework and reusing existing ontologies and minimum information checklists, the application standard can be extended to support additional project-specific data fields and integrated with other data represented with comparable standards. The use of this metadata standard by all ongoing and future GSCID sequencing projects will provide a

  20. Meeting Report: “Metagenomics, Metadata and Meta-analysis” (M3) Special Interest Group at ISMB 2009

    PubMed Central

    Field, Dawn; Friedberg, Iddo; Sterk, Peter; Kottmann, Renzo; Glöckner, Frank Oliver; Hirschman, Lynette; Garrity, George M.; Cochrane, Guy; Wooley, John; Gilbert, Jack

    2009-01-01

    This report summarizes the proceedings of the “Metagenomics, Metadata and Meta-analysis” (M3) Special Interest Group (SIG) meeting held at the Intelligent Systems for Molecular Biology 2009 conference. The Genomic Standards Consortium (GSC) hosted this meeting to explore the bottlenecks and emerging solutions for obtaining biological insights through large-scale comparative analysis of metagenomic datasets. The M3 SIG included 16 talks, half of which were selected from submitted abstracts, a poster session and a panel discussion involving members of the GSC Board. This report summarizes this one-day SIG, attempts to identify shared themes and recapitulates community recommendations for the future of this field. The GSC will also host an M3 workshop at the Pacific Symposium on Biocomputing (PSB) in January 2010. Further information about the GSC and its range of activities can be found at http://gensc.org/. PMID:21304668

  1. The role of metadata and strategies to detect and control temporal data bias in environmental monitoring of soil contamination.

    PubMed

    Desaules, André

    2012-11-01

    It is crucial for environmental monitoring to fully control temporal bias, which is the distortion of real data evolution by varying bias through time. Temporal bias cannot be fully controlled by statistics alone but requires appropriate and sufficient metadata, which should be under rigorous and continuous quality assurance and control (QA/QC) to reliably document the degree of consistency of the monitoring system. All presented strategies to detect and control temporal data bias (QA/QC, harmonisation/homogenisation/standardisation, mass balance approach, use of tracers and analogues and control of changing boundary conditions) rely on metadata. The Will Rogers phenomenon, due to subsequent reclassification, is a particular source of temporal data bias introduced to environmental monitoring here. Sources and effects of temporal data bias are illustrated by examples from the Swiss soil monitoring network. The attempt to make a comprehensive compilation and assessment of required metadata for soil contamination monitoring reveals that most metadata are still far from being reliable. This leads to the conclusion that progress in environmental monitoring means further development of the concept of environmental metadata for the sake of temporal data bias control as a prerequisite for reliable interpretations and decisions.

  2. Metadata-driven Delphi rating on the Internet.

    PubMed

    Deshpande, Aniruddha M; Shiffman, Richard N; Nadkarni, Prakash M

    2005-01-01

    Paper-based data collection and analysis for consensus development is inefficient and error-prone. Computerized techniques that could improve efficiency, however, have been criticized as costly, inconvenient and difficult to use. We designed and implemented a metadata-driven Web-based Delphi rating and analysis tool, employing the flexible entity-attribute-value schema to create generic, reusable software. The software can be applied to various domains by altering the metadata; the programming code remains intact. This approach greatly reduces the marginal cost of re-using the software. We implemented our software to prepare for the Conference on Guidelines Standardization. Twenty-three invited experts completed the first round of the Delphi rating on the Web. For each participant, the software generated individualized reports that described the median rating and the disagreement index (calculated from the Interpercentile Range Adjusted for Symmetry) as defined by the RAND/UCLA Appropriateness Method. We evaluated the software with a satisfaction survey using a five-level Likert scale. The panelists felt that Web data entry was convenient (median 4, interquartile range [IQR] 4.0-5.0), acceptable (median 4.5, IQR 4.0-5.0) and easily accessible (median 5, IQR 4.0-5.0). We conclude that Web-based Delphi rating for consensus development is a convenient and acceptable alternative to the traditional paper-based method.

  3. SPASE, Metadata, and the Heliophysics Virtual Observatories

    NASA Technical Reports Server (NTRS)

    Thieman, James; King, Todd; Roberts, Aaron

    2010-01-01

    To provide data search and access capability in the field of Heliophysics (the study of the Sun and its effects on the Solar System, especially the Earth) a number of Virtual Observatories (VO) have been established both via direct funding from the U.S. National Aeronautics and Space Administration (NASA) and through other funding agencies in the U.S. and worldwide. At least 15 systems can be labeled as Virtual Observatories in the Heliophysics community, 9 of them funded by NASA. The problem is that different metadata and data search approaches are used by these VO's and a search for data relevant to a particular research question can involve consulting with multiple VO's - needing to learn a different approach for finding and acquiring data for each. The Space Physics Archive Search and Extract (SPASE) project is intended to provide a common data model for Heliophysics data and therefore a common set of metadata for searches of the VO's. The SPASE Data Model has been developed through the common efforts of the Heliophysics Data and Model Consortium (HDMC) representatives over a number of years. We currently have released Version 2.1 of the Data Model. The advantages and disadvantages of the Data Model will be discussed along with the plans for the future. Recent changes requested by new members of the SPASE community indicate some of the directions for further development.

  4. Tools for proactive collection and use of quality metadata in GEOSS

    NASA Astrophysics Data System (ADS)

    Bastin, L.; Thum, S.; Maso, J.; Yang, K. X.; Nüst, D.; Van den Broek, M.; Lush, V.; Papeschi, F.; Riverola, A.

    2012-12-01

    The GEOSS Common Infrastructure allows interactive evaluation and selection of Earth Observation datasets by the scientific community and decision makers, but the data quality information needed to assess fitness for use is often patchy and hard to visualise when comparing candidate datasets. In a number of studies over the past decade, users repeatedly identified the same types of gaps in quality metadata, specifying the need for enhancements such as peer and expert review, better traceability and provenance information, information on citations and usage of a dataset, warning about problems identified with a dataset and potential workarounds, and 'soft knowledge' from data producers (e.g. recommendations for use which are not easily encoded using the existing standards). Despite clear identification of these issues in a number of recommendations, the gaps persist in practice and are highlighted once more in our own, more recent, surveys. This continuing deficit may well be the result of a historic paucity of tools to support the easy documentation and continual review of dataset quality. However, more recent developments in tools and standards, as well as more general technological advances, present the opportunity for a community of scientific users to adopt a more proactive attitude by commenting on their uses of data, and for that feedback to be federated with more traditional and static forms of metadata, allowing a user to more accurately assess the suitability of a dataset for their own specific context and reliability thresholds. The EU FP7 GeoViQua project aims to develop this opportunity by adding data quality representations to the existing search and visualisation functionalities of the Geo Portal. Subsequently we will help to close the gap by providing tools to easily create quality information, and to permit user-friendly exploration of that information as the ultimate incentive for improved data quality documentation. Quality information is derived

  5. Assuring the Quality of Agricultural Learning Repositories: Issues for the Learning Object Metadata Creation Process of the CGIAR

    NASA Astrophysics Data System (ADS)

    Zschocke, Thomas; Beniest, Jan

    The Consultative Group on International Agricultural Re- search (CGIAR) has established a digital repository to share its teaching and learning resources along with descriptive educational information based on the IEEE Learning Object Metadata (LOM) standard. As a critical component of any digital repository, quality metadata are critical not only to enable users to find more easily the resources they require, but also for the operation and interoperability of the repository itself. Studies show that repositories have difficulties in obtaining good quality metadata from their contributors, especially when this process involves many different stakeholders as is the case with the CGIAR as an international organization. To address this issue the CGIAR began investigating the Open ECBCheck as well as the ISO/IEC 19796-1 standard to establish quality protocols for its training. The paper highlights the implications and challenges posed by strengthening the metadata creation workflow for disseminating learning objects of the CGIAR.

  6. QualityML: a dictionary for quality metadata encoding

    NASA Astrophysics Data System (ADS)

    Ninyerola, Miquel; Sevillano, Eva; Serral, Ivette; Pons, Xavier; Zabala, Alaitz; Bastin, Lucy; Masó, Joan

    2014-05-01

    The scenario of rapidly growing geodata catalogues requires tools focused on facilitate users the choice of products. Having quality fields populated in metadata allow the users to rank and then select the best fit-for-purpose products. In this direction, we have developed the QualityML (http://qualityml.geoviqua.org), a dictionary that contains hierarchically structured concepts to precisely define and relate quality levels: from quality classes to quality measurements. Generically, a quality element is the path that goes from the higher level (quality class) to the lowest levels (statistics or quality metrics). This path is used to encode quality of datasets in the corresponding metadata schemas. The benefits of having encoded quality, in the case of data producers, are related with improvements in their product discovery and better transmission of their characteristics. In the case of data users, particularly decision-makers, they would find quality and uncertainty measures to take the best decisions as well as perform dataset intercomparison. Also it allows other components (such as visualization, discovery, or comparison tools) to be quality-aware and interoperable. On one hand, the QualityML is a profile of the ISO geospatial metadata standards providing a set of rules for precisely documenting quality indicator parameters that is structured in 6 levels. On the other hand, QualityML includes semantics and vocabularies for the quality concepts. Whenever possible, if uses statistic expressions from the UncertML dictionary (http://www.uncertml.org) encoding. However it also extends UncertML to provide list of alternative metrics that are commonly used to quantify quality. A specific example, based on a temperature dataset, is shown below. The annual mean temperature map has been validated with independent in-situ measurements to obtain a global error of 0.5 ° C. Level 0: Quality class (e.g., Thematic accuracy) Level 1: Quality indicator (e.g., Quantitative

  7. Scalable Metadata Management for a Large Multi-Source Seismic Data Repository

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gaylord, J. M.; Dodge, D. A.; Magana-Zook, S. A.

    In this work, we implemented the key metadata management components of a scalable seismic data ingestion framework to address limitations in our existing system, and to position it for anticipated growth in volume and complexity.

  8. Trends in the Evolution of the Public Web, 1998-2002; The Fedora Project: An Open-source Digital Object Repository Management System; State of the Dublin Core Metadata Initiative, April 2003; Preservation Metadata; How Many People Search the ERIC Database Each Day?

    ERIC Educational Resources Information Center

    O'Neill, Edward T.; Lavoie, Brian F.; Bennett, Rick; Staples, Thornton; Wayland, Ross; Payette, Sandra; Dekkers, Makx; Weibel, Stuart; Searle, Sam; Thompson, Dave; Rudner, Lawrence M.

    2003-01-01

    Includes five articles that examine key trends in the development of the public Web: size and growth, internationalization, and metadata usage; Flexible Extensible Digital Object and Repository Architecture (Fedora) for use in digital libraries; developments in the Dublin Core Metadata Initiative (DCMI); the National Library of New Zealand Te Puna…

  9. Online Metadata Directories: A way of preserving, sharing and discovering scientific information

    NASA Technical Reports Server (NTRS)

    Meaux, M.

    2005-01-01

    The Global Change Master Directory (GCMD) assists the scientific community in the discovery of and linkage to Earth Science data and provides data holders a means to advertise their data to the community through its portals, i.e. online customized subset metadata directories. These directories are effectively serving communities like the Joint Committee on Antarctic Data Management (JCADM), the Global Observing System Information Center (GOSIC), and the Global Ocean Ecosystems Dynamic Program (GLOBEC) by increasing the visibility of their data holding. The purpose of the Gulf of Maine Ocean Data Partnership (GoMODP) is to "promote and coordinate the sharing, linking, electronic dissemination, and use of data on the Gulf of Maine region". The participants have decided that a "coordinated effort is needed to enable users throughout the Gulf of Maine region and beyond to discover and put to use the vast and growing quantities of data in their respective databases". GoMODP members have invited the GCMD to discuss potential collaborations associated with this effort. The presentation will focus on the use of the GCMD s metadata directory as a powerful tool for data discovery and sharing. An overview of the directory and its metadata authoring tools will be given.

  10. Energy Research Abstracts. [DOE abstract journal

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Not Available

    1981-01-01

    Energy Research Abstracts (ERA) provides abstracting and indexing coverage of all scientific and technical reports, journal articles, conference papers and proceedings, books, patents, theses, and monographs originated by the US Department of Energy, its laboratories, energy centers, and contractors. ERA also covers other energy information prepared in report form by federal and state government organizations, foreign governments, and domestic and foreign universities and research organizations. ERA coverage of non-report literature is limited to that generated by Department of Energy activity. ERA is comprehensive in its subject scope, encompassing the DOE's research, development, demonstration, and technological programs resulting from its broadmore » charter for energy sources, conservation, safety, environmental impacts, and regulation. Corporate, author, subject, report number, and contract number indexes are included. ERA is available on an exchange basis to universities, research intitutions, industrial firms, and publishers of scientific information. Federal, state, and municipal agencies concerned with energy development, conservation, and usage may obtain ERA free of charge. Inquiries should be directed to the Technical Information Center, P.O. Box 62, Oak Ridge, Tennessee 37830. ERA is available to the public on a subscription basis for 24 semimonthly issues including a semiannual index and an annual index. All citations announced in ERA exist as separate records in the DOE Energy Data Base.« less

  11. Building a High Performance Metadata Broker using Clojure, NoSQL and Message Queues

    NASA Astrophysics Data System (ADS)

    Truslove, I.; Reed, S.

    2013-12-01

    In practice, Earth and Space Science Informatics often relies on getting more done with less: fewer hardware resources, less IT staff, fewer lines of code. As a capacity-building exercise focused on rapid development of high-performance geoinformatics software, the National Snow and Ice Data Center (NSIDC) built a prototype metadata brokering system using a new JVM language, modern database engines and virtualized or cloud computing resources. The metadata brokering system was developed with the overarching goals of (i) demonstrating a technically viable product with as little development effort as possible, (ii) using very new yet very popular tools and technologies in order to get the most value from the least legacy-encumbered code bases, and (iii) being a high-performance system by using scalable subcomponents, and implementation patterns typically used in web architectures. We implemented the system using the Clojure programming language (an interactive, dynamic, Lisp-like JVM language), Redis (a fast in-memory key-value store) as both the data store for original XML metadata content and as the provider for the message queueing service, and ElasticSearch for its search and indexing capabilities to generate search results. On evaluating the results of the prototyping process, we believe that the technical choices did in fact allow us to do more for less, due to the expressive nature of the Clojure programming language and its easy interoperability with Java libraries, and the successful reuse or re-application of high performance products or designs. This presentation will describe the architecture of the metadata brokering system, cover the tools and techniques used, and describe lessons learned, conclusions, and potential next steps.

  12. CHIME: A Metadata-Based Distributed Software Development Environment

    DTIC Science & Technology

    2005-01-01

    structures by using typography , graphics , and animation. The Software Im- mersion in our conceptual model for CHIME can be seen as a form of Software...Even small- to medium-sized development efforts may involve hundreds of artifacts -- design documents, change requests, test cases and results, code...for managing and organizing information from all phases of the software lifecycle. CHIME is designed around an XML-based metadata architecture, in

  13. ClinicalTrials.gov registration can supplement information in abstracts for systematic reviews: a comparison study.

    PubMed

    Scherer, Roberta W; Huynh, Lynn; Ervin, Ann-Margret; Taylor, Jakeisha; Dickersin, Kay

    2013-06-18

    The inclusion of randomized controlled trials (RCTs) reported in conference abstracts in systematic reviews is controversial, partly because study design information and risk of bias is often not fully reported in the abstract. The Association for Research in Vision and Ophthalmology (ARVO) requires trial registration of abstracts submitted for their annual conference as of 2007. Our goal was to assess the feasibility of obtaining study design information critical to systematic reviews, but not typically included in conference abstracts, from the trial registration record. We reviewed all conference abstracts presented at the ARVO meetings from 2007 through 2009, and identified 496 RCTs; 154 had a single matching registration record in ClinicalTrials.gov. Two individuals independently extracted information from the abstract and the ClinicalTrials.gov record, including study design, sample size, inclusion criteria, masking, interventions, outcomes, funder, and investigator name and contact information. Discrepancies were resolved by consensus. We assessed the frequencies of reporting variables appearing in the abstract and the trial register and assessed agreement of information reported in both sources. We found a substantial amount of study design information in the ClinicalTrials.gov record that was unavailable in the corresponding conference abstract, including eligibility criteria associated with gender (83%; 128/154); masking or blinding of study participants (53%, 82/154), persons administering treatment (30%, 46/154), and persons measuring the outcomes (40%, 61/154)); and number of study centers (58%; 90/154). Only 34% (52/154) of abstracts explicitly described a primary outcome, but a primary outcome was included in the "Primary Outcome" field in the ClinicalTrials.gov record for 82% (126/154) of studies. One or more study interventions were reported in each abstract, but agreed exactly with those reported in ClinicalTrials.gov only slightly more than half

  14. ClinicalTrials.gov registration can supplement information in abstracts for systematic reviews: a comparison study

    PubMed Central

    2013-01-01

    Background The inclusion of randomized controlled trials (RCTs) reported in conference abstracts in systematic reviews is controversial, partly because study design information and risk of bias is often not fully reported in the abstract. The Association for Research in Vision and Ophthalmology (ARVO) requires trial registration of abstracts submitted for their annual conference as of 2007. Our goal was to assess the feasibility of obtaining study design information critical to systematic reviews, but not typically included in conference abstracts, from the trial registration record. Methods We reviewed all conference abstracts presented at the ARVO meetings from 2007 through 2009, and identified 496 RCTs; 154 had a single matching registration record in ClinicalTrials.gov. Two individuals independently extracted information from the abstract and the ClinicalTrials.gov record, including study design, sample size, inclusion criteria, masking, interventions, outcomes, funder, and investigator name and contact information. Discrepancies were resolved by consensus. We assessed the frequencies of reporting variables appearing in the abstract and the trial register and assessed agreement of information reported in both sources. Results We found a substantial amount of study design information in the ClinicalTrials.gov record that was unavailable in the corresponding conference abstract, including eligibility criteria associated with gender (83%; 128/154); masking or blinding of study participants (53%, 82/154), persons administering treatment (30%, 46/154), and persons measuring the outcomes (40%, 61/154)); and number of study centers (58%; 90/154). Only 34% (52/154) of abstracts explicitly described a primary outcome, but a primary outcome was included in the “Primary Outcome” field in the ClinicalTrials.gov record for 82% (126/154) of studies. One or more study interventions were reported in each abstract, but agreed exactly with those reported in Clinical

  15. The Genomic Observatories Metadatabase (GeOMe): A new repository for field and sampling event metadata associated with genetic samples.

    PubMed

    Deck, John; Gaither, Michelle R; Ewing, Rodney; Bird, Christopher E; Davies, Neil; Meyer, Christopher; Riginos, Cynthia; Toonen, Robert J; Crandall, Eric D

    2017-08-01

    The Genomic Observatories Metadatabase (GeOMe, http://www.geome-db.org/) is an open access repository for geographic and ecological metadata associated with biosamples and genetic data. Whereas public databases have served as vital repositories for nucleotide sequences, they do not accession all the metadata required for ecological or evolutionary analyses. GeOMe fills this need, providing a user-friendly, web-based interface for both data contributors and data recipients. The interface allows data contributors to create a customized yet standard-compliant spreadsheet that captures the temporal and geospatial context of each biosample. These metadata are then validated and permanently linked to archived genetic data stored in the National Center for Biotechnology Information's (NCBI's) Sequence Read Archive (SRA) via unique persistent identifiers. By linking ecologically and evolutionarily relevant metadata with publicly archived sequence data in a structured manner, GeOMe sets a gold standard for data management in biodiversity science.

  16. Interoperability Using Lightweight Metadata Standards: Service & Data Casting, OpenSearch, OPM Provenance, and Shared SciFlo Workflows

    NASA Astrophysics Data System (ADS)

    Wilson, B. D.; Manipon, G.; Hua, H.; Fetzer, E.

    2011-12-01

    Under several NASA grants, we are generating multi-sensor merged atmospheric datasets to enable the detection of instrument biases and studies of climate trends over decades of data. For example, under a NASA MEASURES grant we are producing a water vapor climatology from the A-Train instruments, stratified by the Cloudsat cloud classification for each geophysical scene. The generation and proper use of such multi-sensor climate data records (CDR's) requires a high level of openness, transparency, and traceability. To make the datasets self-documenting and provide access to full metadata and traceability, we have implemented a set of capabilities and services using known, interoperable protocols. These protocols include OpenSearch, OPeNDAP, Open Provenance Model, service & data casting technologies using Atom feeds, and REST-callable analysis workflows implemented as SciFlo (XML) documents. We advocate that our approach can serve as a blueprint for how to openly "document and serve" complex, multi-sensor CDR's with full traceability. The capabilities and services provided include: - Discovery of the collections by keyword search, exposed using OpenSearch protocol; - Space/time query across the CDR's granules and all of the input datasets via OpenSearch; - User-level configuration of the production workflows so that scientists can select additional physical variables from the A-Train to add to the next iteration of the merged datasets; - Efficient data merging using on-the-fly OPeNDAP variable slicing & spatial subsetting of data out of input netCDF and HDF files (without moving the entire files); - Self-documenting CDR's published in a highly usable netCDF4 format with groups used to organize the variables, CF-style attributes for each variable, numeric array compression, & links to OPM provenance; - Recording of processing provenance and data lineage into a query-able provenance trail in Open Provenance Model (OPM) format, auto-captured by the workflow engine

  17. The importance of metadata to assess information content in digital reconstructions of neuronal morphology.

    PubMed

    Parekh, Ruchi; Armañanzas, Rubén; Ascoli, Giorgio A

    2015-04-01

    Digital reconstructions of axonal and dendritic arbors provide a powerful representation of neuronal morphology in formats amenable to quantitative analysis, computational modeling, and data mining. Reconstructed files, however, require adequate metadata to identify the appropriate animal species, developmental stage, brain region, and neuron type. Moreover, experimental details about tissue processing, neurite visualization and microscopic imaging are essential to assess the information content of digital morphologies. Typical morphological reconstructions only partially capture the underlying biological reality. Tracings are often limited to certain domains (e.g., dendrites and not axons), may be incomplete due to tissue sectioning, imperfect staining, and limited imaging resolution, or can disregard aspects irrelevant to their specific scientific focus (such as branch thickness or depth). Gauging these factors is critical in subsequent data reuse and comparison. NeuroMorpho.Org is a central repository of reconstructions from many laboratories and experimental conditions. Here, we introduce substantial additions to the existing metadata annotation aimed to describe the completeness of the reconstructed neurons in NeuroMorpho.Org. These expanded metadata form a suitable basis for effective description of neuromorphological data.

  18. EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation.

    PubMed

    Pafilis, Evangelos; Buttigieg, Pier Luigi; Ferrell, Barbra; Pereira, Emiliano; Schnetzer, Julia; Arvanitidis, Christos; Jensen, Lars Juhl

    2016-01-01

    The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have therefore developed an interactive annotation tool, EXTRACT, which helps curators identify and extract standard-compliant terms for annotation of metagenomic records and other samples. Behind its web-based user interface, the system combines published methods for named entity recognition of environment, organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, well documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Comparison of fully manual and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15-25% and helps curators to detect terms that would otherwise have been missed. Database URL: https://extract.hcmr.gr/. © The Author(s) 2016. Published by Oxford University Press.

  19. EXTRACT: Interactive extraction of environment metadata and term suggestion for metagenomic sample annotation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Pafilis, Evangelos; Buttigieg, Pier Luigi; Ferrell, Barbra

    The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have therefore developed an interactive annotation tool, EXTRACT, which helps curators identify and extract standard-compliant terms for annotation of metagenomic records and other samples. Behind its web-based user interface, the system combines published methods for named entity recognition of environment, organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, wellmore » documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Here the comparison of fully manual and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15–25% and helps curators to detect terms that would otherwise have been missed.« less

  20. EXTRACT: Interactive extraction of environment metadata and term suggestion for metagenomic sample annotation

    DOE PAGES

    Pafilis, Evangelos; Buttigieg, Pier Luigi; Ferrell, Barbra; ...

    2016-01-01

    The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have therefore developed an interactive annotation tool, EXTRACT, which helps curators identify and extract standard-compliant terms for annotation of metagenomic records and other samples. Behind its web-based user interface, the system combines published methods for named entity recognition of environment, organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, wellmore » documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Here the comparison of fully manual and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15–25% and helps curators to detect terms that would otherwise have been missed.« less

  1. Ready to put metadata on the post-2015 development agenda? Linking data publications to responsible innovation and science diplomacy.

    PubMed

    Özdemir, Vural; Kolker, Eugene; Hotez, Peter J; Mohin, Sophie; Prainsack, Barbara; Wynne, Brian; Vayena, Effy; Coşkun, Yavuz; Dereli, Türkay; Huzair, Farah; Borda-Rodriguez, Alexander; Bragazzi, Nicola Luigi; Faris, Jack; Ramesar, Raj; Wonkam, Ambroise; Dandara, Collet; Nair, Bipin; Llerena, Adrián; Kılıç, Koray; Jain, Rekha; Reddy, Panga Jaipal; Gollapalli, Kishore; Srivastava, Sanjeeva; Kickbusch, Ilona

    2014-01-01

    Metadata refer to descriptions about data or as some put it, "data about data." Metadata capture what happens on the backstage of science, on the trajectory from study conception, design, funding, implementation, and analysis to reporting. Definitions of metadata vary, but they can include the context information surrounding the practice of science, or data generated as one uses a technology, including transactional information about the user. As the pursuit of knowledge broadens in the 21(st) century from traditional "science of whats" (data) to include "science of hows" (metadata), we analyze the ways in which metadata serve as a catalyst for responsible and open innovation, and by extension, science diplomacy. In 2015, the United Nations Millennium Development Goals (MDGs) will formally come to an end. Therefore, we propose that metadata, as an ingredient of responsible innovation, can help achieve the Sustainable Development Goals (SDGs) on the post-2015 agenda. Such responsible innovation, as a collective learning process, has become a key component, for example, of the European Union's 80 billion Euro Horizon 2020 R&D Program from 2014-2020. Looking ahead, OMICS: A Journal of Integrative Biology, is launching an initiative for a multi-omics metadata checklist that is flexible yet comprehensive, and will enable more complete utilization of single and multi-omics data sets through data harmonization and greater visibility and accessibility. The generation of metadata that shed light on how omics research is carried out, by whom and under what circumstances, will create an "intervention space" for integration of science with its socio-technical context. This will go a long way to addressing responsible innovation for a fairer and more transparent society. If we believe in science, then such reflexive qualities and commitments attained by availability of omics metadata are preconditions for a robust and socially attuned science, which can then remain broadly

  2. Research Abstracts of 1981.

    DTIC Science & Technology

    1981-12-01

    Development in Initally Caries-Free Naval Recruits" (Abstract #898) , 13. M. R. WIRTHLIN* and E. B. HANCOCK - " Regeneration After Biologic Treat- ment of...These variables can be grouped into four categories: oral condition (N-7), clinical attendance (N=4), personal characteristics (N=4), and record...Histologic examination of the pulp tissue in these teeth were related to the clinical criteria prior to extraction. Clinical criteria associated

  3. The Genomic Observatories Metadatabase (GeOMe): A new repository for field and sampling event metadata associated with genetic samples

    PubMed Central

    Deck, John; Gaither, Michelle R.; Ewing, Rodney; Bird, Christopher E.; Davies, Neil; Meyer, Christopher; Riginos, Cynthia; Toonen, Robert J.; Crandall, Eric D.

    2017-01-01

    The Genomic Observatories Metadatabase (GeOMe, http://www.geome-db.org/) is an open access repository for geographic and ecological metadata associated with biosamples and genetic data. Whereas public databases have served as vital repositories for nucleotide sequences, they do not accession all the metadata required for ecological or evolutionary analyses. GeOMe fills this need, providing a user-friendly, web-based interface for both data contributors and data recipients. The interface allows data contributors to create a customized yet standard-compliant spreadsheet that captures the temporal and geospatial context of each biosample. These metadata are then validated and permanently linked to archived genetic data stored in the National Center for Biotechnology Information’s (NCBI’s) Sequence Read Archive (SRA) via unique persistent identifiers. By linking ecologically and evolutionarily relevant metadata with publicly archived sequence data in a structured manner, GeOMe sets a gold standard for data management in biodiversity science. PMID:28771471

  4. Definition of an ISO 19115 metadata profile for SeaDataNet II Cruise Summary Reports and its XML encoding

    NASA Astrophysics Data System (ADS)

    Boldrini, Enrico; Schaap, Dick M. A.; Nativi, Stefano

    2013-04-01

    SeaDataNet implements a distributed pan-European infrastructure for Ocean and Marine Data Management whose nodes are maintained by 40 national oceanographic and marine data centers from 35 countries riparian to all European seas. A unique portal makes possible distributed discovery, visualization and access of the available sea data across all the member nodes. Geographic metadata play an important role in such an infrastructure, enabling an efficient documentation and discovery of the resources of interest. In particular: - Common Data Index (CDI) metadata describe the sea datasets, including identification information (e.g. product title, interested area), evaluation information (e.g. data resolution, constraints) and distribution information (e.g. download endpoint, download protocol); - Cruise Summary Reports (CSR) metadata describe cruises and field experiments at sea, including identification information (e.g. cruise title, name of the ship), acquisition information (e.g. utilized instruments, number of samples taken) In the context of the second phase of SeaDataNet (SeaDataNet 2 EU FP7 project, grant agreement 283607, started on October 1st, 2011 for a duration of 4 years) a major target is the setting, adoption and promotion of common international standards, to the benefit of outreach and interoperability with the international initiatives and communities (e.g. OGC, INSPIRE, GEOSS, …). A standardization effort conducted by CNR with the support of MARIS, IFREMER, STFC, BODC and ENEA has led to the creation of a ISO 19115 metadata profile of CDI and its XML encoding based on ISO 19139. The CDI profile is now in its stable version and it's being implemented and adopted by the SeaDataNet community tools and software. The effort has then continued to produce an ISO based metadata model and its XML encoding also for CSR. The metadata elements included in the CSR profile belong to different models: - ISO 19115: E.g. cruise identification information, including

  5. The Digital Sample: Metadata, Unique Identification, and Links to Data and Publications

    NASA Astrophysics Data System (ADS)

    Lehnert, K. A.; Vinayagamoorthy, S.; Djapic, B.; Klump, J.

    2006-12-01

    A significant part of digital data in the Geosciences refers to physical samples of Earth materials, from igneous rocks to sediment cores to water or gas samples. The application and long-term utility of these sample-based data in research is critically dependent on (a) the availability of information (metadata) about the samples such as geographical location and time of sampling, or sampling method, (b) links between the different data types available for individual samples that are dispersed in the literature and in digital data repositories, and (c) access to the samples themselves. Major problems for achieving this include incomplete documentation of samples in publications, use of ambiguous sample names, and the lack of a central catalog that allows to find a sample's archiving location. The International Geo Sample Number IGSN, managed by the System for Earth Sample Registration SESAR, provides solutions for these problems. The IGSN is a unique persistent identifier for samples and other GeoObjects that can be obtained by submitting sample metadata to SESAR (www.geosamples.org). If data in a publication is referenced to an IGSN (rather than an ambiguous sample name), sample metadata can readily be extracted from the SESAR database, which evolves into a Global Sample Catalog that also allows to locate the owner or curator of the sample. Use of the IGSN in digital data systems allows building linkages between distributed data. SESAR is contributing to the development of sample metadata standards. SESAR will integrate the IGSN in persistent, resolvable identifiers based on the handle.net service to advance direct linkages between the digital representation of samples in SESAR (sample profiles) and their related data in the literature and in web-accessible digital data repositories. Technologies outlined by Klump et al. (this session) such as the automatic creation of ontologies by text mining applications will be explored for harvesting identifiers of

  6. Synchronisation Technique of Data Recorded on a Multichannel Tape Recorder,

    DTIC Science & Technology

    1984-01-01

    retrieval Synchronizers I 16. Abstract A portable, self-contained, electronic digital unit, termed Data Synchroniser was designed and developed by EDE...AD A139 570 SYNCHRONISATION TECHNIQUE OF DATA RECORDED ON A / OULl ICHANNEL TAPE RECORDER (U) ENGINEERING DEVELOPMENT ESTA B LISHMENT MARIBYRNONO...BGINEERING DEVELOPMEWIT ESTABUSHIMENT S[ SYNCHRONISATION TECHNIQUE OF DATA - i RECORDED ON A MULTICHANNEL TAPE RECORDER BY J.D. DICKENS .t T)TCi j.D. ~c .s

  7. An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper).

    PubMed

    Valdez, Joshua; Rueschman, Michael; Kim, Matthew; Redline, Susan; Sahoo, Satya S

    2016-10-01

    Extraction of structured information from biomedical literature is a complex and challenging problem due to the complexity of biomedical domain and lack of appropriate natural language processing (NLP) techniques. High quality domain ontologies model both data and metadata information at a fine level of granularity, which can be effectively used to accurately extract structured information from biomedical text. Extraction of provenance metadata, which describes the history or source of information, from published articles is an important task to support scientific reproducibility. Reproducibility of results reported by previous research studies is a foundational component of scientific advancement. This is highlighted by the recent initiative by the US National Institutes of Health called "Principles of Rigor and Reproducibility". In this paper, we describe an effective approach to extract provenance metadata from published biomedical research literature using an ontology-enabled NLP platform as part of the Provenance for Clinical and Healthcare Research (ProvCaRe). The ProvCaRe-NLP tool extends the clinical Text Analysis and Knowledge Extraction System (cTAKES) platform using both provenance and biomedical domain ontologies. We demonstrate the effectiveness of ProvCaRe-NLP tool using a corpus of 20 peer-reviewed publications. The results of our evaluation demonstrate that the ProvCaRe-NLP tool has significantly higher recall in extracting provenance metadata as compared to existing NLP pipelines such as MetaMap.

  8. An Examination of the Adoption of Preservation Metadata in Cultural Heritage Institutions: An Exploratory Study Using Diffusion of Innovations Theory

    ERIC Educational Resources Information Center

    Alemneh, Daniel Gelaw

    2009-01-01

    Digital preservation is a significant challenge for cultural heritage institutions and other repositories of digital information resources. Recognizing the critical role of metadata in any successful digital preservation strategy, the Preservation Metadata Implementation Strategies (PREMIS) has been extremely influential on providing a "core" set…

  9. Overview of long-term field experiments in Germany - metadata visualization

    NASA Astrophysics Data System (ADS)

    Muqit Zoarder, Md Abdul; Heinrich, Uwe; Svoboda, Nikolai; Grosse, Meike; Hierold, Wilfried

    2017-04-01

    BonaRes ("soil as a sustainable resource for the bioeconomy") is conducting to collect data and metadata of agricultural long-term field experiments (LTFE) of Germany. It is funded by the German Federal Ministry of Education and Research (BMBF) under the umbrella of the National Research Strategy BioEconomy 2030. BonaRes consists of ten interdisciplinary research project consortia and the 'BonaRes - Centre for Soil Research'. BonaRes Data Centre is responsible for collecting all LTFE data and regarding metadata into an enterprise database upon higher level of security and visualization of the data and metadata through data portal. In the frame of the BonaRes project, we are compiling an overview of long-term field experiments in Germany that is based on a literature review, the results of the online survey and direct contacts with LTFE operators. Information about research topic, contact person, website, experiment setup and analyzed parameters are collected. Based on the collected LTFE data, an enterprise geodatabase is developed and a GIS-based web-information system about LTFE in Germany is also settled. Various aspects of the LTFE, like experiment type, land-use type, agricultural category and duration of experiment, are presented in thematic maps. This information system is dynamically linked to the database, which means changes in the data directly affect the presentation. An easy data searching option using LTFE name, -location or -operators and the dynamic layer selection ensure a user-friendly web application. Dispersion and visualization of the overlapping LTFE points on the overview map are also challenging and we make it automatized at very zoom level which is also a consistent part of this application. The application provides both, spatial location and meta-information of LTFEs, which is backed-up by an enterprise geodatabase, GIS server for hosting map services and Java script API for web application development.

  10. A metadata approach for clinical data management in translational genomics studies in breast cancer.

    PubMed

    Papatheodorou, Irene; Crichton, Charles; Morris, Lorna; Maccallum, Peter; Davies, Jim; Brenton, James D; Caldas, Carlos

    2009-11-30

    In molecular profiling studies of cancer patients, experimental and clinical data are combined in order to understand the clinical heterogeneity of the disease: clinical information for each subject needs to be linked to tumour samples, macromolecules extracted, and experimental results. This may involve the integration of clinical data sets from several different sources: these data sets may employ different data definitions and some may be incomplete. In this work we employ semantic web techniques developed within the CancerGrid project, in particular the use of metadata elements and logic-based inference to annotate heterogeneous clinical information, integrate and query it. We show how this integration can be achieved automatically, following the declaration of appropriate metadata elements for each clinical data set; we demonstrate the practicality of this approach through application to experimental results and clinical data from five hospitals in the UK and Canada, undertaken as part of the METABRIC project (Molecular Taxonomy of Breast Cancer International Consortium). We describe a metadata approach for managing similarities and differences in clinical datasets in a standardized way that uses Common Data Elements (CDEs). We apply and evaluate the approach by integrating the five different clinical datasets of METABRIC.

  11. Automatic Extraction of Metadata from Scientific Publications for CRIS Systems

    ERIC Educational Resources Information Center

    Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan

    2011-01-01

    Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

  12. Metadata Harvesting in Regional Digital Libraries in the PIONIER Network

    ERIC Educational Resources Information Center

    Mazurek, Cezary; Stroinski, Maciej; Werla, Marcin; Weglarz, Jan

    2006-01-01

    Purpose: The paper aims to present the concept of the functionality of metadata harvesting for regional digital libraries, based on the OAI-PMH protocol. This functionality is a part of regional digital libraries platform created in Poland. The platform was required to reach one of main objectives of the Polish PIONIER Programme--to enrich the…

  13. Nuclear science abstracts (NSA) database 1948--1974 (on the Internet)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    Nuclear Science Abstracts (NSA) is a comprehensive abstract and index collection of the International Nuclear Science and Technology literature for the period 1948 through 1976. Included are scientific and technical reports of the US Atomic Energy Commission, US Energy Research and Development Administration and its contractors, other agencies, universities, and industrial and research organizations. Coverage of the literature since 1976 is provided by Energy Science and Technology Database. Approximately 25% of the records in the file contain abstracts. These are from the following volumes of the print Nuclear Science Abstracts: Volumes 12--18, Volume 29, and Volume 33. The database containsmore » over 900,000 bibliographic records. All aspects of nuclear science and technology are covered, including: Biomedical Sciences; Metals, Ceramics, and Other Materials; Chemistry; Nuclear Materials and Waste Management; Environmental and Earth Sciences; Particle Accelerators; Engineering; Physics; Fusion Energy; Radiation Effects; Instrumentation; Reactor Technology; Isotope and Radiation Source Technology. The database includes all records contained in Volume 1 (1948) through Volume 33 (1976) of the printed version of Nuclear Science Abstracts (NSA). This worldwide coverage includes books, conference proceedings, papers, patents, dissertations, engineering drawings, and journal literature. This database is now available for searching through the GOV. Research Center (GRC) service. GRC is a single online web-based search service to well known Government databases. Featuring powerful search and retrieval software, GRC is an important research tool. The GRC web site is at http://grc.ntis.gov.« less

  14. Validation of International Classification of Diseases coding for bone metastases in electronic health records using technology-enabled abstraction.

    PubMed

    Liede, Alexander; Hernandez, Rohini K; Roth, Maayan; Calkins, Geoffrey; Larrabee, Katherine; Nicacio, Leo

    2015-01-01

    The accuracy of bone metastases diagnostic coding based on International Classification of Diseases, ninth revision (ICD-9) is unknown for most large databases used for epidemiologic research in the US. Electronic health records (EHR) are the preferred source of data, but often clinically relevant data occur only as unstructured free text. We examined the validity of bone metastases ICD-9 coding in structured EHR and administrative claims relative to the complete (structured and unstructured) patient chart obtained through technology-enabled chart abstraction. Female patients with breast cancer with ≥1 visit after November 2010 were identified from three community oncology practices in the US. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of bone metastases ICD-9 code 198.5. The technology-enabled abstraction displays portions of the chart to clinically trained abstractors for targeted review, thereby maximizing efficiency. We evaluated effects of misclassification of patients developing skeletal complications or treated with bone-targeting agents (BTAs), and timing of BTA. Among 8,796 patients with breast cancer, 524 had confirmed bone metastases using chart abstraction. Sensitivity was 0.67 (95% confidence interval [CI] =0.63-0.71) based on structured EHR, and specificity was high at 0.98 (95% CI =0.98-0.99) with corresponding PPV of 0.71 (95% CI =0.67-0.75) and NPV of 0.98 (95% CI =0.98-0.98). From claims, sensitivity was 0.78 (95% CI =0.74-0.81), and specificity was 0.98 (95% CI =0.98-0.98) with PPV of 0.72 (95% CI =0.68-0.76) and NPV of 0.99 (95% CI =0.98-0.99). Structured data and claims missed 17% of bone metastases (89 of 524). False negatives were associated with measurable overestimation of the proportion treated with BTA or with a skeletal complication. Median date of diagnosis was delayed in structured data (32 days) and claims (43 days) compared with technology-assisted EHR. Technology

  15. Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.

    PubMed

    Dhaval, Rakesh; Borlawsky, Tara; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti; Payne, Philip R O

    2008-11-06

    In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.

  16. Sentence-Based Metadata: An Approach and Tool for Viewing Database Designs.

    ERIC Educational Resources Information Center

    Boyle, John M.; Gunge, Jakob; Bryden, John; Librowski, Kaz; Hanna, Hsin-Yi

    2002-01-01

    Describes MARS (Museum Archive Retrieval System), a research tool which enables organizations to exchange digital images and documents by means of a common thesaurus structure, and merge the descriptive data and metadata of their collections. Highlights include theoretical basis; searching the MARS database; and examples in European museums.…

  17. Defining linkages between the GSC and NSF's LTER program: How the Ecological Metadata Language (EML) relates to GCDML and other outcomes

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Inigo, Gil San; Servilla, Mark; Brunt, James

    2008-06-01

    The Genomic Standards Consortium (GSC) invited a representative of the Long-Term Ecological Research (LTER) to its fifth workshop to present the Ecological Metadata Language (EML) metadata standard and its relationship to the Minimum Information about a Genome/Metagenome Sequence (MIGS/MIMS) and its implementation, the Genomic Contextual Data Markup Language (GCDML). The LTER is one of the top National Science Foundation (NSF) programs in biology since 1980, representing diverse ecosystems and creating long-term, interdisciplinary research, synthesis of information, and theory. The adoption of EML as the LTER network standard has been key to build network synthesis architectures based on high-quality standardized metadata.more » EML is the NSF-recognized metadata standard for LTER, and EML is a criteria used to review the LTER program progress. At the workshop, a potential crosswalk between the GCDML and EML was explored. Also, collaboration between the LTER and GSC developers was proposed to join efforts toward a common metadata cataloging designer's tool. The community adoption success of a metadata standard depends, among other factors, on the tools and trainings developed to use the standard. LTER's experience in embracing EML may help GSC to achieve similar success. A possible collaboration between LTER and GSC to provide training opportunities for GCDML and the associated tools is being explored. Finally, LTER is investigating EML enhancements to better accommodate genomics data, possibly integrating the GCDML schema into EML. All these action items have been accepted by the LTER contingent, and further collaboration between the GSC and LTER is expected.« less

  18. Defining linkages between the GSC and NSF's LTER program: how the Ecological Metadata Language (EML) relates to GCDML and other outcomes.

    PubMed

    Gil, Inigo San; Sheldon, Wade; Schmidt, Tom; Servilla, Mark; Aguilar, Raul; Gries, Corinna; Gray, Tanya; Field, Dawn; Cole, James; Pan, Jerry Yun; Palanisamy, Giri; Henshaw, Donald; O'Brien, Margaret; Kinkel, Linda; McMahon, Katherine; Kottmann, Renzo; Amaral-Zettler, Linda; Hobbie, John; Goldstein, Philip; Guralnick, Robert P; Brunt, James; Michener, William K

    2008-06-01

    The Genomic Standards Consortium (GSC) invited a representative of the Long-Term Ecological Research (LTER) to its fifth workshop to present the Ecological Metadata Language (EML) metadata standard and its relationship to the Minimum Information about a Genome/Metagenome Sequence (MIGS/MIMS) and its implementation, the Genomic Contextual Data Markup Language (GCDML). The LTER is one of the top National Science Foundation (NSF) programs in biology since 1980, representing diverse ecosystems and creating long-term, interdisciplinary research, synthesis of information, and theory. The adoption of EML as the LTER network standard has been key to build network synthesis architectures based on high-quality standardized metadata. EML is the NSF-recognized metadata standard for LTER, and EML is a criteria used to review the LTER program progress. At the workshop, a potential crosswalk between the GCDML and EML was explored. Also, collaboration between the LTER and GSC developers was proposed to join efforts toward a common metadata cataloging designer's tool. The community adoption success of a metadata standard depends, among other factors, on the tools and trainings developed to use the standard. LTER's experience in embracing EML may help GSC to achieve similar success. A possible collaboration between LTER and GSC to provide training opportunities for GCDML and the associated tools is being explored. Finally, LTER is investigating EML enhancements to better accommodate genomics data, possibly integrating the GCDML schema into EML. All these action items have been accepted by the LTER contingent, and further collaboration between the GSC and LTER is expected.

  19. Modeling Patient Treatment With Medical Records: An Abstraction Hierarchy to Understand User Competencies and Needs.

    PubMed

    St-Maurice, Justin D; Burns, Catherine M

    2017-07-28

    Health care is a complex sociotechnical system. Patient treatment is evolving and needs to incorporate the use of technology and new patient-centered treatment paradigms. Cognitive work analysis (CWA) is an effective framework for understanding complex systems, and work domain analysis (WDA) is useful for understanding complex ecologies. Although previous applications of CWA have described patient treatment, due to their scope of work patients were previously characterized as biomedical machines, rather than patient actors involved in their own care. An abstraction hierarchy that characterizes patients as beings with complex social values and priorities is needed. This can help better understand treatment in a modern approach to care. The purpose of this study was to perform a WDA to represent the treatment of patients with medical records. The methods to develop this model included the analysis of written texts and collaboration with subject matter experts. Our WDA represents the ecology through its functional purposes, abstract functions, generalized functions, physical functions, and physical forms. Compared with other work domain models, this model is able to articulate the nuanced balance between medical treatment, patient education, and limited health care resources. Concepts in the analysis were similar to the modeling choices of other WDAs but combined them in as a comprehensive, systematic, and contextual overview. The model is helpful to understand user competencies and needs. Future models could be developed to model the patient's domain and enable the exploration of the shared decision-making (SDM) paradigm. Our work domain model links treatment goals, decision-making constraints, and task workflows. This model can be used by system developers who would like to use ecological interface design (EID) to improve systems. Our hierarchy is the first in a future set that could explore new treatment paradigms. Future hierarchies could model the patient as a

  20. Modeling Patient Treatment With Medical Records: An Abstraction Hierarchy to Understand User Competencies and Needs

    PubMed Central

    2017-01-01

    Background Health care is a complex sociotechnical system. Patient treatment is evolving and needs to incorporate the use of technology and new patient-centered treatment paradigms. Cognitive work analysis (CWA) is an effective framework for understanding complex systems, and work domain analysis (WDA) is useful for understanding complex ecologies. Although previous applications of CWA have described patient treatment, due to their scope of work patients were previously characterized as biomedical machines, rather than patient actors involved in their own care. Objective An abstraction hierarchy that characterizes patients as beings with complex social values and priorities is needed. This can help better understand treatment in a modern approach to care. The purpose of this study was to perform a WDA to represent the treatment of patients with medical records. Methods The methods to develop this model included the analysis of written texts and collaboration with subject matter experts. Our WDA represents the ecology through its functional purposes, abstract functions, generalized functions, physical functions, and physical forms. Results Compared with other work domain models, this model is able to articulate the nuanced balance between medical treatment, patient education, and limited health care resources. Concepts in the analysis were similar to the modeling choices of other WDAs but combined them in as a comprehensive, systematic, and contextual overview. The model is helpful to understand user competencies and needs. Future models could be developed to model the patient’s domain and enable the exploration of the shared decision-making (SDM) paradigm. Conclusion Our work domain model links treatment goals, decision-making constraints, and task workflows. This model can be used by system developers who would like to use ecological interface design (EID) to improve systems. Our hierarchy is the first in a future set that could explore new treatment paradigms

  1. The Role of Evaluative Metadata in an Online Teacher Resource Exchange

    ERIC Educational Resources Information Center

    Abramovich, Samuel; Schunn, Christian D.; Correnti, Richard J.

    2013-01-01

    A large-scale online teacher resource exchange is studied to examine the ways in which metadata influence teachers' selection of resources. A hierarchical linear modeling approach was used to tease apart the simultaneous effects of resource features and author features. From a decision heuristics theoretical perspective, teachers appear to…

  2. Mathematical Abstraction: Constructing Concept of Parallel Coordinates

    NASA Astrophysics Data System (ADS)

    Nurhasanah, F.; Kusumah, Y. S.; Sabandar, J.; Suryadi, D.

    2017-09-01

    Mathematical abstraction is an important process in teaching and learning mathematics so pre-service mathematics teachers need to understand and experience this process. One of the theoretical-methodological frameworks for studying this process is Abstraction in Context (AiC). Based on this framework, abstraction process comprises of observable epistemic actions, Recognition, Building-With, Construction, and Consolidation called as RBC + C model. This study investigates and analyzes how pre-service mathematics teachers constructed and consolidated concept of Parallel Coordinates in a group discussion. It uses AiC framework for analyzing mathematical abstraction of a group of pre-service teachers consisted of four students in learning Parallel Coordinates concepts. The data were collected through video recording, students’ worksheet, test, and field notes. The result shows that the students’ prior knowledge related to concept of the Cartesian coordinate has significant role in the process of constructing Parallel Coordinates concept as a new knowledge. The consolidation process is influenced by the social interaction between group members. The abstraction process taken place in this group were dominated by empirical abstraction that emphasizes on the aspect of identifying characteristic of manipulated or imagined object during the process of recognizing and building-with.

  3. Experiences with making diffraction image data available: what metadata do we need to archive?

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kroon-Batenburg, Loes M. J., E-mail: l.m.j.kroon-batenburg@uu.nl; Helliwell, John R.; Utrecht University, Padualaan 8, 3584 CH Utrecht

    A local raw ‘diffraction data images’ archive was made available and some data sets were retrieved and reprocessed, which led to analysis of the anomalous difference densities of two partially occupied Cl atoms in cisplatin as well as a re-evaluation of the resolution cutoff in these diffraction data. General questions on storing raw data are discussed. It is also demonstrated that often one needs unambiguous prior knowledge to read the (binary) detector format and the setup of goniometer geometries. Recently, the IUCr (International Union of Crystallography) initiated the formation of a Diffraction Data Deposition Working Group with the aim ofmore » developing standards for the representation of raw diffraction data associated with the publication of structural papers. Archiving of raw data serves several goals: to improve the record of science, to verify the reproducibility and to allow detailed checks of scientific data, safeguarding against fraud and to allow reanalysis with future improved techniques. A means of studying this issue is to submit exemplar publications with associated raw data and metadata. In a recent study of the binding of cisplatin and carboplatin to histidine in lysozyme crystals under several conditions, the possible effects of the equipment and X-ray diffraction data-processing software on the occupancies and B factors of the bound Pt compounds were compared. Initially, 35.3 GB of data were transferred from Manchester to Utrecht to be processed with EVAL. A detailed description and discussion of the availability of metadata was published in a paper that was linked to a local raw data archive at Utrecht University and also mirrored at the TARDIS raw diffraction data archive in Australia. By making these raw diffraction data sets available with the article, it is possible for the diffraction community to make their own evaluation. This led to one of the authors of XDS (K. Diederichs) to re-integrate the data from crystals that

  4. DialysisNet: Application for Integrating and Management Data Sources of Hemodialysis Information by Continuity of Care Record.

    PubMed

    Ku, Ho Suk; Kim, Sungho; Kim, HyeHyeon; Chung, Hee-Joon; Park, Yu Rang; Kim, Ju Han

    2014-04-01

    Health Avatar Beans was for the management of chronic kidney disease and end-stage renal disease (ESRD). This article is about the DialysisNet system in Health Avatar Beans for the seamless management of ESRD based on the personal health record. For hemodialysis data modeling, we identified common data elements for hemodialysis information (CDEHI). We used ASTM continuity of care record (CCR) and ISO/IEC 11179 for the compliance method with a standard model for the CDEHI. According to the contents of the ASTM CCR, we mapped the CDHEI to the contents and created the metadata from that. It was transformed and parsed into the database and verified according to the ASTM CCR/XML schema definition (XSD). DialysisNet was created as an iPad application. The contents of the CDEHI were categorized for effective management. For the evaluation of information transfer, we used CarePlatform, which was developed for data access. The metadata of CDEHI in DialysisNet was exchanged by the CarePlatform with semantic interoperability. The CDEHI was separated into a content list for individual patient data, a contents list for hemodialysis center data, consultation and transfer form, and clinical decision support data. After matching to the CCR, the CDEHI was transformed to metadata, and it was transformed to XML and proven according to the ASTM CCR/XSD. DialysisNet has specific consideration of visualization, graphics, images, statistics, and database. We created the DialysisNet application, which can integrate and manage data sources for hemodialysis information based on CCR standards.

  5. The Semantic Mapping of Archival Metadata to the CIDOC CRM Ontology

    ERIC Educational Resources Information Center

    Bountouri, Lina; Gergatsoulis, Manolis

    2011-01-01

    In this article we analyze the main semantics of archival description, expressed through Encoded Archival Description (EAD). Our main target is to map the semantics of EAD to the CIDOC Conceptual Reference Model (CIDOC CRM) ontology as part of a wider integration architecture of cultural heritage metadata. Through this analysis, it is concluded…

  6. Semantic Metadata for Heterogeneous Spatial Planning Documents

    NASA Astrophysics Data System (ADS)

    Iwaniak, A.; Kaczmarek, I.; Łukowicz, J.; Strzelecki, M.; Coetzee, S.; Paluszyński, W.

    2016-09-01

    Spatial planning documents contain information about the principles and rights of land use in different zones of a local authority. They are the basis for administrative decision making in support of sustainable development. In Poland these documents are published on the Web according to a prescribed non-extendable XML schema, designed for optimum presentation to humans in HTML web pages. There is no document standard, and limited functionality exists for adding references to external resources. The text in these documents is discoverable and searchable by general-purpose web search engines, but the semantics of the content cannot be discovered or queried. The spatial information in these documents is geographically referenced but not machine-readable. Major manual efforts are required to integrate such heterogeneous spatial planning documents from various local authorities for analysis, scenario planning and decision support. This article presents results of an implementation using machine-readable semantic metadata to identify relationships among regulations in the text, spatial objects in the drawings and links to external resources. A spatial planning ontology was used to annotate different sections of spatial planning documents with semantic metadata in the Resource Description Framework in Attributes (RDFa). The semantic interpretation of the content, links between document elements and links to external resources were embedded in XHTML pages. An example and use case from the spatial planning domain in Poland is presented to evaluate its efficiency and applicability. The solution enables the automated integration of spatial planning documents from multiple local authorities to assist decision makers with understanding and interpreting spatial planning information. The approach is equally applicable to legal documents from other countries and domains, such as cultural heritage and environmental management.

  7. The ANSS Station Information System: A Centralized Station Metadata Repository for Populating, Managing and Distributing Seismic Station Metadata

    NASA Astrophysics Data System (ADS)

    Thomas, V. I.; Yu, E.; Acharya, P.; Jaramillo, J.; Chowdhury, F.

    2015-12-01

    Maintaining and archiving accurate site metadata is critical for seismic network operations. The Advanced National Seismic System (ANSS) Station Information System (SIS) is a repository of seismic network field equipment, equipment response, and other site information. Currently, there are 187 different sensor models and 114 data-logger models in SIS. SIS has a web-based user interface that allows network operators to enter information about seismic equipment and assign response parameters to it. It allows users to log entries for sites, equipment, and data streams. Users can also track when equipment is installed, updated, and/or removed from sites. When seismic equipment configurations change for a site, SIS computes the overall gain of a data channel by combining the response parameters of the underlying hardware components. Users can then distribute this metadata in standardized formats such as FDSN StationXML or dataless SEED. One powerful advantage of SIS is that existing data in the repository can be leveraged: e.g., new instruments can be assigned response parameters from the Incorporated Research Institutions for Seismology (IRIS) Nominal Response Library (NRL), or from a similar instrument already in the inventory, thereby reducing the amount of time needed to determine parameters when new equipment (or models) are introduced into a network. SIS is also useful for managing field equipment that does not produce seismic data (eg power systems, telemetry devices or GPS receivers) and gives the network operator a comprehensive view of site field work. SIS allows users to generate field logs to document activities and inventory at sites. Thus, operators can also use SIS reporting capabilities to improve planning and maintenance of the network. Queries such as how many sensors of a certain model are installed or what pieces of equipment have active problem reports are just a few examples of the type of information that is available to SIS users.

  8. Cross-organizational workflow in radiology: an empirical study of the quality of shared metadata elements in Region Västra Götaland, Sweden.

    PubMed

    Lindsköld, Lars; Wintell, Mikael; Edgren, Lars; Aspelin, Peter; Lundberg, Nina

    2013-07-01

    Challenges related to the cross-organizational access of accurate and timely information about a patient's condition has become a critical issue in healthcare. Interoperability of different local sources is necessary. To identify and present missing and semantically incorrect data elements of metadata in the radiology enterprise service that supports cross-organizational sharing of dynamic information about patients' visits, in the Region Västra Götaland, Sweden. Quantitative data elements of metadata were collected yearly from the first Wednesday in March from 2006 to 2011 from the 24 in-house radiology departments in Region Västra Götaland. These radiology departments were organized into four hospital groups and three stand-alone hospitals. Included data elements of metadata were the patient name, patient ID, institutional department name, referring physician's name, and examination description. The majority of missing data elements of metadata was related to the institutional department name for Hospital 2, from 87% in 2007 to 25% in 2011. All data elements of metadata except the patient ID contained semantic errors. For example, for the data element "patient name", only three names out of 3537 were semantically correct. This study shows that the semantics of metadata elements are poorly structured and inconsistently used. Although a cross-organizational solution may technically be fully functional, semantic errors may prevent it from serving as an information infrastructure for collaboration between all departments and hospitals in the region. For interoperability, it is important that the agreed semantic models are implemented in vendor systems using the information infrastructure.

  9. Defining Linkages between the GSC and NSF's LTER Program: How the Ecological Metadata Language (EML) Relates to GCDML and Other Outcomes

    Treesearch

    Inigo San Gil; Wade Sheldon; Tom Schmidt; Mark Servilla; Raul Aguilar; Corinna Gries; Tanya Gray; Dawn Field; James Cole; Jerry Yun Pan; Giri Palanisamy; Donald Henshaw; Margaret O' Brien; Linda Kinkel; Kathrine McMahon; Renzo Kottmann; Linda Amaral-Zettler; John Hobbie; Philip Goldstein; Robert P. Guralnick; James Brunt; William K. Michener

    2008-01-01

    The Genomic Standards Consortium (GSC) invited a representative of the Long-Term Ecological Research (LTER) to its fifth workshop to present the Ecological Metadata Language (EML) metadata standard and its relationship to the Minimum Information about a Genome/Metagenome Sequence (MIGS/MIMS) and its implementation, the Genomic Contextual Data Markup Language (GCDML)....

  10. STAR Online Framework: from Metadata Collection to Event Analysis and System Control

    NASA Astrophysics Data System (ADS)

    Arkhipkin, D.; Lauret, J.

    2015-05-01

    In preparation for the new era of RHIC running (RHIC-II upgrades and possibly, the eRHIC era), the STAR experiment is expanding its modular Message Interface and Reliable Architecture framework (MIRA). MIRA allowed STAR to integrate meta-data collection, monitoring, and online QA components in a very agile and efficient manner using a messaging infrastructure approach. In this paper, we briefly summarize our past achievements, provide an overview of the recent development activities focused on messaging patterns and describe our experience with the complex event processor (CEP) recently integrated into the MIRA framework. CEP was used in the recent RHIC Run 14, which provided practical use cases. Finally, we present our requirements and expectations for the planned expansion of our systems, which will allow our framework to acquire features typically associated with Detector Control Systems. Special attention is given to aspects related to latency, scalability and interoperability within heterogeneous set of services, various data and meta-data acquisition components coexisting in STAR online domain.

  11. A Metadata Model for E-Learning Coordination through Semantic Web Languages

    ERIC Educational Resources Information Center

    Elci, Atilla

    2005-01-01

    This paper reports on a study aiming to develop a metadata model for e-learning coordination based on semantic web languages. A survey of e-learning modes are done initially in order to identify content such as phases, activities, data schema, rules and relations, etc. relevant for a coordination model. In this respect, the study looks into the…

  12. Progress Report on the Airborne Metadata and Time Series Working Groups of the 2016 ESDSWG

    NASA Astrophysics Data System (ADS)

    Evans, K. D.; Northup, E. A.; Chen, G.; Conover, H.; Ames, D. P.; Teng, W. L.; Olding, S. W.; Krotkov, N. A.

    2016-12-01

    NASA's Earth Science Data Systems Working Groups (ESDSWG) was created over 10 years ago. The role of the ESDSWG is to make recommendations relevant to NASA's Earth science data systems from users' experiences. Each group works independently focusing on a unique topic. Participation in ESDSWG groups comes from a variety of NASA-funded science and technology projects, including MEaSUREs and ROSS. Participants include NASA information technology experts, affiliated contractor staff and other interested community members from academia and industry. Recommendations from the ESDSWG groups will enhance NASA's efforts to develop long term data products. The Airborne Metadata Working Group is evaluating the suitability of the current Common Metadata Repository (CMR) and Unified Metadata Model (UMM) for airborne data sets and to develop new recommendations as necessary. The overarching goal is to enhance the usability, interoperability, discovery and distribution of airborne observational data sets. This will be done by assessing the suitability (gaps) of the current UMM model for airborne data using lessons learned from current and past field campaigns, listening to user needs and community recommendations and assessing the suitability of ISO metadata and other standards to fill the gaps. The Time Series Working Group (TSWG) is a continuation of the 2015 Time Series/WaterML2 Working Group. The TSWG is using a case study-driven approach to test the new Open Geospatial Consortium (OGC) TimeseriesML standard to determine any deficiencies with respect to its ability to fully describe and encode NASA earth observation-derived time series data. To do this, the time series working group is engaging with the OGC TimeseriesML Standards Working Group (SWG) regarding unsatisfied needs and possible solutions. The effort will end with the drafting of an OGC Engineering Report based on the use cases and interactions with the OGC TimeseriesML SWG. Progress towards finalizing

  13. File level metadata generation and use for diverse airborne and in situ data: Experiences with Operation IceBridge and SnowEx

    NASA Astrophysics Data System (ADS)

    Tanner, S.; Schwab, M.; Beam, K.; Skaug, M.

    2017-12-01

    Operation IceBridge has been flying campaigns in the Arctic and Antarctic for nearly 10 years and will soon be a decadal mission. During that time, the generation and use of file level metadata has evolved from nearly non-existent to robust spatio-temporal support. This evolution has been difficult at times, but the results speak for themselves in the form of production tools for search, discovery, access and analysis. The lessons learned from this experience are now being incorporated into SnowEx, a new mission to measure snow cover using airborne and ground-based measurements. This presentation will focus on techniques for generating metadata for such a diverse set of measurements as well as the resulting tools that utilize this information. This includes the development and deployment of MetGen, a semi-automated metadata generation capability that relies on collaboration between data producers and data archivers, the newly deployed IceBridge data portal which incorporates data browse capabilities and limited in-line analysis, and programmatic access to metadata and data for incorporation into larger automated workflows.

  14. ClinData Express – A Metadata Driven Clinical Research Data Management System for Secondary Use of Clinical Data

    PubMed Central

    Li, Zuofeng; Wen, Jingran; Zhang, Xiaoyan; Wu, Chunxiao; Li, Zuogao; Liu, Lei

    2012-01-01

    Aim to ease the secondary use of clinical data in clinical research, we introduce a metadata driven web-based clinical data management system named ClinData Express. ClinData Express is made up of two parts: 1) m-designer, a standalone software for metadata definition; 2) a web based data warehouse system for data management. With ClinData Express, what the researchers need to do is to define the metadata and data model in the m-designer. The web interface for data collection and specific database for data storage will be automatically generated. The standards used in the system and the data export modular make sure of the data reuse. The system has been tested on seven disease-data collection in Chinese and one form from dbGap. The flexibility of system makes its great potential usage in clinical research. The system is available at http://code.google.com/p/clindataexpress. PMID:23304327

  15. Metadata Mapper: a web service for mapping data between independent visual analysis components, guided by perceptual rules

    NASA Astrophysics Data System (ADS)

    Rogowitz, Bernice E.; Matasci, Naim

    2011-03-01

    The explosion of online scientific data from experiments, simulations, and observations has given rise to an avalanche of algorithmic, visualization and imaging methods. There has also been enormous growth in the introduction of tools that provide interactive interfaces for exploring these data dynamically. Most systems, however, do not support the realtime exploration of patterns and relationships across tools and do not provide guidance on which colors, colormaps or visual metaphors will be most effective. In this paper, we introduce a general architecture for sharing metadata between applications and a "Metadata Mapper" component that allows the analyst to decide how metadata from one component should be represented in another, guided by perceptual rules. This system is designed to support "brushing [1]," in which highlighting a region of interest in one application automatically highlights corresponding values in another, allowing the scientist to develop insights from multiple sources. Our work builds on the component-based iPlant Cyberinfrastructure [2] and provides a general approach to supporting interactive, exploration across independent visualization and visual analysis components.

  16. International cooperation between Japanese IUGONET and EU ESPAS projects on development of the metadata database for upper atmospheric study

    NASA Astrophysics Data System (ADS)

    Yatagai, Akiyo; Ritschel, Bernd; Iyemori, Tomohiko; Koyama, Yukinobu; Hori, Tomoaki; Abe, Shuji; Tanaka, Yoshimasa; Shinbori, Atsuki; UeNo, Satoru; Sato, Yuka; Yagi, Manabu

    2013-04-01

    The upper atmospheric observational study is the area which an international collaboration is crucially important. The Japanese Inter-university Upper atmosphere Global Observation NETwork project (2009-2014), IUGONET, is an inter-university program by the National Institute of Polar Research (NIPR), Tohoku University, Nagoya University, Kyoto University, and Kyushu University to build a database of metadata for ground-based observations of the upper atmosphere. In order to investigate the mechanism of long-term variations in the upper atmosphere, we need to combine various types of in-situ observations and to accelerate data exchange. The IUGONET institutions have been archiving observed data by radars, magnetometers, photometers, radio telescopes, helioscopes, etc. in various altitude layers from the Earth's surface to the Sun. The IUGONET has been developing systems for searching metadata of these observational data, and the metadata database (MDB) has already been operating since 2011. It adopts DSPACE system for registering metadata, and it uses an extension of the SPASE data model of describing metadata, which is widely used format in the upper atmospheric society including that in USA. The European Union project ESPAS (2011-2015) has the same scientific objects with IUGONET, namely it aims to provide an e-science infrastructure for the retrieval and access to space weather relevant data, information and value added services. It integrates 22 partners in European countries. The ESPAS also plans to adopt SPASE model for defining their metadata, but search system is different. Namely, in spite of the similarity of the data model, basic system ideas and techniques of the system and web portal are different between IUGONET and ESPAS. In order to connect the two systems/databases, we are planning to take an ontological method. The SPASE keyword vocabulary, derived from the SPASE data model shall be used as standard for the description of near-earth and space data

  17. mzML2ISA & nmrML2ISA: generating enriched ISA-Tab metadata files from metabolomics XML data.

    PubMed

    Larralde, Martin; Lawson, Thomas N; Weber, Ralf J M; Moreno, Pablo; Haug, Kenneth; Rocca-Serra, Philippe; Viant, Mark R; Steinbeck, Christoph; Salek, Reza M

    2017-08-15

    Submission to the MetaboLights repository for metabolomics data currently places the burden of reporting instrument and acquisition parameters in ISA-Tab format on users, who have to do it manually, a process that is time consuming and prone to user input error. Since the large majority of these parameters are embedded in instrument raw data files, an opportunity exists to capture this metadata more accurately. Here we report a set of Python packages that can automatically generate ISA-Tab metadata file stubs from raw XML metabolomics data files. The parsing packages are separated into mzML2ISA (encompassing mzML and imzML formats) and nmrML2ISA (nmrML format only). Overall, the use of mzML2ISA & nmrML2ISA reduces the time needed to capture metadata substantially (capturing 90% of metadata on assay and sample levels), is much less prone to user input errors, improves compliance with minimum information reporting guidelines and facilitates more finely grained data exploration and querying of datasets. mzML2ISA & nmrML2ISA are available under version 3 of the GNU General Public Licence at https://github.com/ISA-tools. Documentation is available from http://2isa.readthedocs.io/en/latest/. reza.salek@ebi.ac.uk or isatools@googlegroups.com. Supplementary data are available at Bioinformatics online. © The Author(s) 2017. Published by Oxford University Press.

  18. Process improvement: a multi-registry database abstraction success story.

    PubMed

    Abrich, Victor; Rokey, Roxann; Devadas, Christopher; Uebel, Julie

    2014-01-01

    The St. Joseph Hospital/Marshfield Clinic Cardiac Database Registry submits data to the National Cardiovascular Data Registry (NCDR) and to the Society of Thoracic Surgeons (STS) National Database. Delayed chart abstraction is problematic, since hospital policy prohibits patient care clarifications made to the medical record more than 1 month after hospital discharge. This can also lead to late identification of missed care opportunities and untimely notification to providers. Our institution was 3.5 months behind in retrospective postdischarge case abstraction. A process improvement plan was implemented to shorten this delay to 1 month postdischarge. Daily demand of incoming cases and abstraction capacity were determined for 4 employees. Demand was matched to capacity, with the remaining time allocated to reducing backlog. Daily demand of new cases was 17.1 hours. Daily abstraction capacity was 24 hours, assuming 6 hours of effective daily abstraction time per employee, leaving 7 hours per day for backlogged case abstraction. The predicted time to reach abstraction target was 10 weeks. This was accomplished after 10 weeks, as predicted, leading to a 60% reduction of backlogged cases. The delay of postdischarge chart abstraction was successfully shortened from 3.5 months to 1 month. We intend to maintain same-day abstraction efficiency without reaccumulating substantial backlog.

  19. Development of an oil spill information system combining remote sensing data and surveillance metadata

    NASA Astrophysics Data System (ADS)

    Tufte, Lars; Trieschmann, Olaf; Carreau, Philippe; Hunsaenger, Thomas; Clayton, Peter J. S.; Barjenbruch, Ulrich

    2004-02-01

    The detection of accidentally or illegal marine oil discharges in the German territorial waters of the North Sea and Baltic Sea is of great importance for combating of oil spills and protection of the marine ecosystem. Therefore the German Federal Ministry of Transport set up an airborne surveillance system consisting of two Dornier DO 228-212 aircrafts equipped with a Side-Looking Airborne Radar (SLAR), a IR/UV sensor, a Microwave Radiometer (MWR) for quantification and a Laser-Flurosensor (LFS) for classification purposes of the oil spills. The flight parameters and the remote sensing data are stored in a database during the flight. A Pollution Observation Log is completed by the operator consisting of information about the detected oil spill (e.g. position, length, width) and several other information about the flight (e.g. name of navigator, name of observer). The objective was to develop an oil spill information system which integrates the described data, metadata and includes visualization and spatial analysis capabilities. The metadata are essential for further statistical analysis in spatial and temporal domains of oil spill occurrences and of the surveillance itself. It should facilitate the communication and distribution of metadata between the administrative bodies and partners of the German oil spill surveillance system. A connection between a GIS and the database allows to use the powerful visualization and spatial analysis functionality of the GIS in conjunction with the oil spill database.

  20. ARIADNE: a Tracking System for Relationships in LHCb Metadata

    NASA Astrophysics Data System (ADS)

    Shapoval, I.; Clemencic, M.; Cattaneo, M.

    2014-06-01

    The data processing model of the LHCb experiment implies handling of an evolving set of heterogeneous metadata entities and relationships between them. The entities range from software and databases states to architecture specificators and software/data deployment locations. For instance, there is an important relationship between the LHCb Conditions Database (CondDB), which provides versioned, time dependent geometry and conditions data, and the LHCb software, which is the data processing applications (used for simulation, high level triggering, reconstruction and analysis of physics data). The evolution of CondDB and of the LHCb applications is a weakly-homomorphic process. It means that relationships between a CondDB state and LHCb application state may not be preserved across different database and application generations. These issues may lead to various kinds of problems in the LHCb production, varying from unexpected application crashes to incorrect data processing results. In this paper we present Ariadne - a generic metadata relationships tracking system based on the novel NoSQL Neo4j graph database. Its aim is to track and analyze many thousands of evolving relationships for cases such as the one described above, and several others, which would otherwise remain unmanaged and potentially harmful. The highlights of the paper include the system's implementation and management details, infrastructure needed for running it, security issues, first experience of usage in the LHCb production and potential of the system to be applied to a wider set of LHCb tasks.